24.2.2.3 Text Detection, Find Text in General Scenes, Scene Text

Chapter Contents (Back)
Scene Text. Text Detection. Extract text from images. More than just segmentation of documents, find the text strings.
See also Text Detection, Scene Text, Curved Text, Arbitrary Orientation. Recogniton focused:
See also Recognize Text, Read Text from Signs in General Scenes. Stroke based:
See also Text in Scenes, Stroke Based, Contour Based. For more, expecially video and captions:
See also Video Analysis -- Captions, Text, Video Text.

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Text detection from natural scene images using topographic maps and sparse representations,
ICIP09(2021-2024).
IEEE DOI 0911
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Earlier:
Text detection from scene images using sparse representation,
ICPR08(1-5).
IEEE DOI 0812
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And:
Isolated Handwritten Farsi Numerals Recognition Using Sparse and Over-Complete Representations,
ICDAR09(586-590).
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Earlier:
Text Segmentation from Complex Background Using Sparse Representations,
ICDAR07(412-416).
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Wang, K.Q.[Kong-Qiao], Kangas, J.A.[Jari A.],
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Character segmentation of color images from digital camera,
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US_Patent6,999,621, Feb 14, 2006
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IVC(25), No. 5, 1 May 2007, pp. 671-685.
Elsevier DOI 0703
Tensor voting; Text segmentation; Mean shift-based density estimation; Adaptive median filter; Color component analysis BibRef

Park, J.[Jonghyun], Park, S.[Soonyoung],
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Goto, H.[Hideaki],
Redefining the DCT-based feature for scene text detection: Analysis and comparison of spatial frequency-based features,
IJDAR(11), No. 1, October 2008, pp. xx-yy.
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Tanaka, M., Goto, H.,
Autonomous Text Capturing Robot Using Improved DCT Feature and Text Tracking,
ICDAR07(1178-1182).
IEEE DOI 0709
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Shiratori, H.[Hiroki], Goto, H.[Hideaki], Kobayashi, H.[Hiroaki],
An Efficient Text Capture Method for Moving Robots Using DCT Feature and Text Tracking,
ICPR06(II: 1050-1053).
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Saoi, T., Goto, H., Kobayashi, H.,
Text detection in color scene images based on unsupervised clustering of multi-channel wavelet features,
ICDAR05(II: 690-694).
IEEE DOI 0508
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Baba, Y.[Yoichiro], Hirose, A.[Akira],
Spectral Fluctuation Method: A Texture-Based Method to Extract Text Regions in General Scene Images,
IEICE(E92-D), No. 9, September 2009, pp. 1702-1715.
WWW Link. 0910
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Earlier:
Proposal of the hybrid spectral gradient method to extract character-text regions from general scene images,
ICIP04(I: 211-214).
IEEE DOI 0505
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Zhang, Y.[Yi], Tan, K.K.[Kok Kiong],
Text extraction from images captured via mobile and digital devices,
IJCVR(1), No. 1, 2009, pp. 34-58.
DOI Link 0911
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Nguyen, T.D., Park, J., Lee, G.,
Tensor Voting Based Text Localization in Natural Scene Images,
SPLetters(17), No. 7, July 2010, pp. 639-642.
IEEE DOI 1006
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Li, M.[Minhua], Bai, M.[Meng], Wang, C.H.[Chun-Heng], Xiao, B.H.[Bai-Hua],
Conditional random field for text segmentation from images with complex background,
PRL(31), No. 14, 15 October 2010, pp. 2295-2308.
Elsevier DOI 1003
Conditional random field (CRF); Text segmentation; Complex background; Local information; Contextual label information BibRef

Pan, Y.F.[Yi-Feng], Hou, X.W.[Xin-Wen], Liu, C.L.[Cheng-Lin],
A Hybrid Approach to Detect and Localize Texts in Natural Scene Images,
IP(20), No. 3, March 2011, pp. 800-813.
IEEE DOI 1103
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Earlier:
Text Localization in Natural Scene Images Based on Conditional Random Field,
ICDAR09(6-10).
IEEE DOI 0907
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Gopalan, C.[Chitrakala], Manjula, D.,
Statistical modeling for the detection, localization and extraction of text from heterogeneous textual images using combined feature scheme,
SIViP(5), No. 2, June 2011, pp. 165-183.
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Minetto, R.[Rodrigo], Thome, N.[Nicolas], Cord, M.[Matthieu], Leite, N.J.[Neucimar J.], Stolfi, J.[Jorge],
T-HOG: An effective gradient-based descriptor for single line text regions,
PR(46), No. 3, March 2013, pp. 1078-1090.
Elsevier DOI 1212
Text detection; Text classification; Histogram of oriented gradients for text; Text descriptor BibRef

Shi, C.Z.[Cun-Zhao], Wang, C.H.[Chun-Heng], Xiao, B.H.[Bai-Hua], Zhang, Y.[Yang], Gao, S.[Song],
Scene text detection using graph model built upon maximally stable extremal regions,
PRL(34), No. 2, 15 January 2013, pp. 107-116.
Elsevier DOI 1212
Scene text detection; MSER; Graph model; Cost function; Graph cut BibRef

Yang, S.B.[Shiueng-Bien], Wu, C.F.[Chi-Feng],
Locating Text in Images Based on the Smooth Gray-Level Detection,
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Koo, H.I.[Hyung Il], Kim, D.H.[Duck Hoon],
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IP(22), No. 6, 2013, pp. 2296-2305.
IEEE DOI 1307
multilayer perceptrons; text detection BibRef

Merino-Gracia, C.[Carlos], Mirmehdi, M.[Majid], Sigut, J.[José], González-Mora, J.L.[José L.],
Fast perspective recovery of text in natural scenes,
IVC(31), No. 10, 2013, pp. 714-724.
Elsevier DOI 1310
Scene text extraction BibRef

Lee, S.[Seong_Hun], Kim, J.H.[Jin Hyung],
Integrating multiple character proposals for robust scene text extraction,
IVC(31), No. 11, 2013, pp. 823-840.
Elsevier DOI 1311
Scene text extraction BibRef

Cho, M.S.[Min Su], Seok, J.H.[Jae-Hyun], Lee, S.H.[Seong-Hun], Kim, J.H.[Jin Hyung],
Scene Text Extraction by Superpixel CRFs Combining Multiple Character Features,
ICDAR11(1034-1038).
IEEE DOI 1111
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Lee, S.H.[Seong-Hun], Cho, M.S.[Min Su], Jung, K.[Kyomin], Kim, J.H.[Jin Hyung],
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ICPR10(3983-3986).
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Kumar, D.[Deepak], Ramakrishnan, A.G.,
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Ikica, A.[Andrej],
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Sun, L.[Lei], Huo, Q.[Qiang], Jia, W.[Wei], Chen, K.[Kai],
A robust approach for text detection from natural scene images,
PR(48), No. 9, 2015, pp. 2906-2920.
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Text detection BibRef

Sun, L.[Lei], Huo, Q.[Qiang],
An Improved Component Tree Based Approach to User-Intention Guided Text Extraction from Natural Scene Images,
ICDAR13(383-387)
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Lu, S.J.[Shi-Jian], Chen, T.[Tao], Tian, S.X.[Shang-Xuan], Lim, J.H.[Joo-Hwee], Tan, C.L.[Chew-Lim],
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IJDAR(18), No. 2, June 2015, pp. 125-135.
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Zhou, G.[Gang], Liu, Y.H.[Yue-Hu], Xu, L.[Liang], Jia, Z.H.[Zhen-Hong],
Scene text detection method based on the hierarchical model,
IET-CV(9), No. 4, 2015, pp. 500-510.
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Scene text detection with superpixels and hierarchical model,
ICIP12(1001-1004).
IEEE DOI 1302
image classification BibRef

Ghanei, S.[Shaho], Faez, K.[Karim],
Localizing scene texts by fuzzy inference systems and low rank matrix recovery model,
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Zhu, A.[Anna], Wang, G.Y.[Guo-You], Dong, Y.B.[Yang-Bo],
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Shi, B.G.[Bao-Guang], Bai, X.[Xiang], Yao, C.[Cong],
Script identification in the wild via discriminative convolutional neural network,
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Script identification
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Mei, J.[Jieru], Dai, L.[Luo], Shi, B.G.[Bao-Guang], Bai, X.[Xiang],
Scene Text Script Identification with Convolutional Recurrent Neural Networks,
ICPR16(4053-4058)
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Convolution, Feature extraction, Hidden Markov models, Image representation, Logic gates, Recurrent, neural, networks BibRef

Long, S.B.[Shang-Bang], He, X.[Xin], Yao, C.[Cong],
Scene Text Detection and Recognition: The Deep Learning Era,
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Springer DOI 2101
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Zhu, A.[Anna], Gao, R.[Renwu], Uchida, S.[Seiichi],
Could scene context be beneficial for scene text detection?,
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Elsevier DOI 1606
Scene text detection BibRef

Bhardwaj, D., Pankajakshan, V.,
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Zini, L., Odone, F.,
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Wu, H.[Hui], Zou, B.[Beiji], Zhao, Y.Q.[Yu-Qian], Guo, J.J.[Jian-Jing],
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Tang, Y., Wu, X.,
Scene Text Detection and Segmentation Based on Cascaded Convolution Neural Networks,
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Intaratat, S., Patanukhom, K.,
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MVA17(370-373)
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PRL(112), 2018, pp. 27-33.
Elsevier DOI 1809
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Earlier:
Scene text detection based on skeleton-cut detector,
ICIP17(3375-3379)
IEEE DOI 1803
Scene text, Coarse-to-fine, Skeleton-cut detector, SSR and BTS. Indexes, Skeleton, Edge adhesion, IRL, Scene text detection, Skeleton-cut strategy, Text-specific representation BibRef

Wang, L.W.[Li-Wei], Li, Y.[Yin], Huang, J.[Jing], Lazebnik, S.[Svetlana],
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IEEE DOI 1901
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CVPR16(5005-5013)
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Bazazian, D.[Dena], Gómez, R.[Raúl], Nicolaou, A.[Anguelos], Gómez, L.[Lluís], Karatzas, D.[Dimosthenis], Bagdanov, A.D.[Andrew D.],
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Elsevier DOI 1902
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Zhong, Z.Y.[Zhuo-Yao], Sun, L.[Lei], Huo, Q.A.[Qi-Ang],
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Elsevier DOI 1909
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Scene text detection, Deep learning, Quadrilateral regression BibRef

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Earlier: A1, A4, A2, A5, Only:
Scene Text Detection with Recurrent Instance Segmentation,
ICPR18(2227-2232)
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Chen, X.X.[Xiao-Xue], Jin, L.W.[Lian-Wen], Zhu, Y.Z.[Yuan-Zhi], Luo, C.J.[Can-Jie], Wang, T.W.[Tian-Wei],
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MultMed(23), 2021, pp. 1316-1329.
IEEE DOI 2105
Feature extraction, Bidirectional control, Semantics, Convolutional codes, Task analysis, Visualization, Decoding, convolutional neural network (CNN) BibRef

Cai, Y.Q.[Yuan-Qiang], Liu, C.[Chang], Cheng, P.[Peirui], Du, D.[Dawei], Zhang, L.[Libo], Wang, W.Q.[Wei-Qiang], Ye, Q.[Qixiang],
Scale-Residual Learning Network for Scene Text Detection,
CirSysVideo(31), No. 7, July 2021, pp. 2725-2738.
IEEE DOI 2107
Feature extraction, Cameras, Image segmentation, Benchmark testing, Stacking, Task analysis, Transforms, Text detection, LS-Text dataset BibRef

Wang, Y.X.[Ya-Xiong], Yang, H.[Hao], Bai, X.X.[Xiu-Xiu], Qian, X.M.[Xue-Ming], Ma, L.[Lin], Lu, J.[Jing], Li, B.[Biao], Fan, X.[Xin],
PFAN++: Bi-Directional Image-Text Retrieval With Position Focused Attention Network,
MultMed(23), 2021, pp. 3362-3376.
IEEE DOI 2109
Visualization, Semantics, Task analysis, Reliability, Postal services, Feature extraction, Fans, Image-text matching, position embedding learning BibRef

Zhang, Y.[Yu], Fu, Z.L.[Zi-Long], Huang, F.[Fuyu], Liu, Y.Z.[Yi-Zhi],
PMMN: Pre-trained multi-Modal network for scene text recognition,
PRL(151), 2021, pp. 103-111.
Elsevier DOI 2110
Multi-modal information, Pre-trained model, Scene text recognition BibRef

Wang, C.[Chuan], Zhao, S.[Shan], Zhu, L.[Li], Luo, K.[Kunming], Guo, Y.[Yanwen], Wang, J.[Jue], Liu, S.[Shuaicheng],
Semi-Supervised Pixel-Level Scene Text Segmentation by Mutually Guided Network,
IP(30), 2021, pp. 8212-8221.
IEEE DOI 2110
Image segmentation, Task analysis, Training, Decoding, Feature extraction, Text recognition, mutually guided network BibRef

Wu, Y.[Yan], Fan, J.X.[Jia-Xin], Tao, R.S.[Ren-Shuai], Wang, J.[Jiakai], Qin, H.T.[Hao-Tong], Liu, A.[Aishan], Liu, X.L.[Xiang-Long],
Sequential alignment attention model for scene text recognition,
JVCIR(80), 2021, pp. 103289.
Elsevier DOI 2110
Scene text recognition, Attention-gated recurrent unit, Attention mechanism, Connectionist temporal classification BibRef

Wu, Y.[Yirui], Liu, W.X.[Wen-Xiang], Wan, S.H.[Shao-Hua],
Multiple attention encoded cascade R-CNN for scene text detection,
JVCIR(80), 2021, pp. 103261.
Elsevier DOI 2110
Cascade R-CNN, Deep representation learning, Applications to robust image recognition, Multi-oriented text BibRef


Hu, Z.Y.[Zhen-Yu], Pi, P.C.[Peng-Cheng], Wu, Z.Y.[Zhen-Yu], Xue, Y.H.[Yun-He], Shen, J.[Jiayi], Tan, J.C.[Jian-Chao], Lian, X.R.[Xiang-Ru], Wang, Z.Y.[Zhang-Yang], Liu, J.[Ji],
E2VTS: Energy-Efficient Video Text Spotting from Unmanned Aerial Vehicles,
UG21(905-913)
IEEE DOI 2109
Training, Quantization (signal), Heuristic algorithms, Image edge detection, Redundancy, Routing, Energy efficiency BibRef

Li, J.C.[Jia-Chen], Lin, Y.[Yuan], Liu, R.R.[Rong-Rong], Ho, C.M.[Chiu Man], Shi, H.[Humphrey],
RSCA: Real-time Segmentation-based Context-Aware Scene Text Detection,
MAI21(2349-2358)
IEEE DOI 2109
Analytical models, Shape, Computational modeling, Benchmark testing, Feature extraction, Real-time systems BibRef

Raisi, Z.[Zobeir], Naiel, M.A.[Mohamed A.], Younes, G.[Georges], Wardell, S.[Steven], Zelek, J.S.[John S.],
Transformer-based Text Detection in the Wild,
VOCVALC21(3156-3165)
IEEE DOI 2109
Location awareness, Visualization, Buildings, Computer architecture, Detectors BibRef

Gao, P.[Pan], Wan, Q.[Qi], Gao, R.[RenWu], Shen, L.[LinLin],
Feature Embedding Based Text Instance Grouping for Largely Spaced and Occluded Text Detection,
ICPR21(1709-1716)
IEEE DOI 2105
Shape, Detectors, Benchmark testing, Feature extraction BibRef

Nandanwar, L.[Lokesh], Shivakumara, P.[Palaiahnakote], Raghavendra, R.[Ramachandra], Lu, T.[Tong], Pal, U.[Umapada], Lopresti, D.[Daniel], Anuar, N.B.[Nor Badrul],
Local Gradient Difference Features for Classification of 2D-3D Natural Scene Text Images,
ICPR21(1112-1119)
IEEE DOI 2105
Image recognition, Graphical models, Text recognition, Artificial neural networks, Feature extraction, 2D-3D image classification BibRef

Peng, X.[Xuan], Huang, Z.[Zheng], Chen, K.[Kai], Guo, J.[Jie], Qiu, W.D.[Wei-Dong],
RLST: A Reinforcement Learning Approach to Scene Text Detection Refinement,
ICPR21(1521-1528)
IEEE DOI 2105
Training, Visualization, Pipelines, Reinforcement learning, Pattern recognition BibRef

Yang, M.K.[Ming-Kun], Zheng, H.[Haitian], Bai, X.[Xiang], Luo, J.B.[Jie-Bo],
Cost-Effective Adversarial Attacks against Scene Text Recognition,
ICPR21(2368-2374)
IEEE DOI 2105
Deep learning, Text recognition, Perturbation methods, Semantics, Training data, Benchmark testing, Linear programming BibRef

Dasgupta, K.[Kinjal], Das, S.[Sudip], Bhattacharya, U.[Ujjwal],
Stratified Multi-Task Learning for Robust Spotting of Scene Texts,
ICPR21(3130-3137)
IEEE DOI 2105
Training, Text recognition, Simulation, Deep architecture, Organizations, Cerebrum, Benchmark testing, Scene Text Spotting, Multi-task Learning BibRef

Qiao, Z.[Zhi], Qin, X.[Xugong], Zhou, Y.[Yu], Yang, F.[Fei], Wang, W.P.[Wei-Ping],
Gaussian Constrained Attention Network for Scene Text Recognition,
ICPR21(3328-3335)
IEEE DOI 2105
Text recognition, Computational modeling, Benchmark testing, Performance gain, Decoding, Faces BibRef

Zhou, J.[Junwei], Gao, H.C.[Hong-Chao], Dai, J.[Jiao], Liu, D.Q.[Dong-Qin], Han, J.Z.[Ji-Zhong],
A Multi-head Self-relation Network for Scene Text Recognition,
ICPR21(3969-3976)
IEEE DOI 2105
Visualization, Image recognition, Correlation, Text recognition, Shape, Feature extraction, Data models BibRef

Zhu, A.[Anna], Du, H.[Hang], Xiong, S.W.[Sheng-Wu],
Scene Text Detection with Selected Anchors,
ICPR21(6608-6615)
IEEE DOI 2105
Shape, Estimation, Benchmark testing, Pattern recognition, Proposals, Standards, scene text detection, anchor selection, text proposal, Faster RCNN BibRef

Yan, R.J.[Rui-Jie], Peng, L.R.[Liang-Rui], Xiao, S.[Shanyu], Yao, G.[Gang], Min, J.[Jaesik],
MEAN: Multi - Element Attention Network for Scene Text Recognition,
ICPR21(1-8)
IEEE DOI 2105
Image quality, Text recognition, Aggregates, Feature extraction, Encoding, Decoding BibRef

Zhao, M.[Mengbiao], Feng, W.[Wei], Yin, F.[Fei], Zhang, X.Y.[Xu-Yao], Liu, C.L.[Cheng-Lin],
Mutually Guided Dual-Task Network for Scene Text Detection,
ICPR21(6928-6934)
IEEE DOI 2105
Training, Filtering, Annotations, Training data, Detectors, Network architecture, Feature extraction, Scene text detection, mutual guidance BibRef

Wu, S.[Shudeng], Dai, T.[Tao], Meng, G.[Guanghao], Chen, B.[Bin], Lu, J.[Jian], Xia, S.T.[Shu-Tao],
Transferable Adversarial Attacks for Deep Scene Text Detection,
ICPR21(8945-8951)
IEEE DOI 2105
Image segmentation, Text recognition, Perturbation methods, Neural networks, Optical imaging, Robustness, Internet BibRef

Meng, G.H.[Guang-Hao], Dai, T.[Tao], Wu, S.D.[Shu-Deng], Chen, B.[Bin], Lu, J.[Jian], Jiang, Y.[Yong], Xia, S.T.[Shu-Tao],
Sample-aware Data Augmentor for Scene Text Recognition,
ICPR21(3978-3985)
IEEE DOI 2105
Training, Handwriting recognition, Text recognition, Shape, Pose estimation, Neural networks, Training data, affine transformation BibRef

Gu, C.[Chengyu], Wang, S.L.[Shi-Lin], Zhu, Y.[Yiwei], Huang, Z.[Zheng], Chen, K.[Kai],
Weakly Supervised Attention Rectification for Scene Text Recognition,
ICPR21(779-786)
IEEE DOI 2105
Text recognition, Annotations, Benchmark testing, Standards, scene text recognition, neural network, attention drift BibRef

Chen, Y.[Yudi], Wang, W.[Wei], Zhou, Y.[Yu], Yang, F.[Fei], Yang, D.[Dongbao], Wang, W.P.[Wei-Ping],
Self-Training for Domain Adaptive Scene Text Detection,
ICPR21(850-857)
IEEE DOI 2105
Text mining, Degradation, Deep learning, Detectors, Data collection, Benchmark testing, Pattern recognition BibRef

Wang, S., Wang, R., Yao, Z., Shan, S., Chen, X.,
Cross-modal Scene Graph Matching for Relationship-aware Image-Text Retrieval,
WACV20(1497-1506)
IEEE DOI 2006
Visualization, Feature extraction, Semantics, Task analysis, Image edge detection, Pediatrics, Generators BibRef

Wu, W.J.[Wei-Jia], Lu, N.[Ning], Xie, E.[Enze], Wang, Y.X.[Yu-Xing], Yu, W.W.[Wen-Wen], Yang, C.[Cheng], Zhou, H.[Hong],
Synthetic-to-real Unsupervised Domain Adaptation for Scene Text Detection in the Wild,
ACCV20(III:289-303).
Springer DOI 2103
BibRef

Zayene, O.[Oussama], Ingold, R.[Rolf], BenAmara, N.E.[Najoua Essoukri], Hennebert, J.[Jean],
ICPR2020 Competition on Text Detection and Recognition in Arabic News Video Frames,
Text20(343-356).
Springer DOI 2103
BibRef

Liao, M.H.[Ming-Hui], Pang, G.[Guan], Huang, J.[Jing], Hassner, T.[Tal], Bai, X.[Xiang],
Mask Textspotter v3: Segmentation Proposal Network for Robust Scene Text Spotting,
ECCV20(XI:706-722).
Springer DOI 2011
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Wang, W.H.[Wen-Hai], Liu, X.[Xuebo], Ji, X.Z.[Xiao-Zhong], Xie, E.[Enze], Liang, D.[Ding], Yang, Z.B.[Zhi-Bo], Lu, T.[Tong], Shen, C.H.[Chun-Hua], Luo, P.[Ping],
Ae Textspotter: Learning Visual and Linguistic Representation for Ambiguous Text Spotting,
ECCV20(XIV:457-473).
Springer DOI 2011
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Wang, W.J.[Wen-Jia], Xie, E.[Enze], Liu, X.[Xuebo], Wang, W.H.[Wen-Hai], Liang, D.[Ding], Shen, C.H.[Chun-Hua], Bai, X.[Xiang],
Scene Text Image Super-Resolution in the Wild,
ECCV20(X:650-666).
Springer DOI 2011
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Xiao, S.[Shanyu], Peng, L.R.[Liang-Rui], Yan, R.[Ruijie], An, K.[Keyu], Yao, G.[Gang], Min, J.[Jaesik],
Sequential Deformation for Accurate Scene Text Detection,
ECCV20(XXIX: 108-124).
Springer DOI 2010
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Baek, Y.M.[Young-Min], Shin, S.[Seung], Baek, J.H.[Jeong-Hun], Park, S.[Sungrae], Lee, J.[Junyeop], Nam, D.[Daehyun], Lee, H.[Hwalsuk],
Character Region Attention for Text Spotting,
ECCV20(XXIX: 504-521).
Springer DOI 2010
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Chen, H., Ding, G., Liu, X., Lin, Z., Liu, J., Han, J.,
IMRAM: Iterative Matching With Recurrent Attention Memory for Cross-Modal Image-Text Retrieval,
CVPR20(12652-12660)
IEEE DOI 2008
Semantics, Feature extraction, Benchmark testing, Bidirectional control, Iterative methods, Complexity theory, Business BibRef

Sabir, A., Moreno-Noguer, F., Padró, L.,
Textual Visual Semantic Dataset for Text Spotting,
WTDDL20(2306-2315)
IEEE DOI 2008
Visualization, Semantics, Text recognition, Task analysis, Data mining, Dictionaries, Feature extraction BibRef

Roy, P., Bhattacharya, S., Ghosh, S., Pal, U.,
STEFANN: Scene Text Editor Using Font Adaptive Neural Network,
CVPR20(13225-13234)
IEEE DOI 2008
Image color analysis, Convolution, Integrated circuits, Character recognition, Visualization, Text recognition, Distortion BibRef

Gao, D., Li, K., Wang, R., Shan, S., Chen, X.,
Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text,
CVPR20(12743-12753)
IEEE DOI 2008
Visualization, Semantics, Task analysis, Numerical models, Neural networks, Cognition, Knowledge discovery BibRef

Liu, X., Zhou, G., Zhang, R., Wei, X.,
An Accurate Segmentation-Based Scene Text Detector with Context Attention and Repulsive Text Border,
WTDDL20(2344-2352)
IEEE DOI 2008
Convolution, Decoding, Feature extraction, Detectors, Benchmark testing, Object detection BibRef

Richardson, E., Azar, Y., Avioz, O., Geron, N., Ronen, T., Avraham, Z., Shapiro, S.,
It's All About The Scale: Efficient Text Detection Using Adaptive Scaling,
WACV20(1833-1842)
IEEE DOI 2006
Image segmentation, Semantics, Runtime, Benchmark testing, Pipelines, Kernel, Task analysis BibRef

Nguyen, D.T.N.,
State-of-the-Art in Action: Unconstrained Text Detection,
RLQ19(1104-1111)
IEEE DOI 2004
Code, Text Detection.
WWW Link. feature extraction, text detection, textual information detection, test data annotation, post processing BibRef

Duan, J., Xu, Y., Kuang, Z., Yue, X., Sun, H., Guan, Y., Zhang, W.,
Geometry Normalization Networks for Accurate Scene Text Detection,
ICCV19(9136-9145)
IEEE DOI 2004
computational geometry, convolutional neural nets, learning (artificial intelligence), text analysis, Object detection BibRef

Baek, Y.[Youngmin], Lee, B.[Bado], Han, D.Y.[Dong-Yoon], Yun, S.[Sangdoo], Lee, H.[Hwalsuk],
Character Region Awareness for Text Detection,
CVPR19(9357-9366).
IEEE DOI 2002
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Tian, Z.T.[Zhuo-Tao], Shu, M.[Michelle], Lyu, P.Y.[Peng-Yuan], Li, R.[Ruiyu], Zhou, C.[Chao], Shen, X.Y.[Xiao-Yong], Jia, J.Y.[Jia-Ya],
Learning Shape-Aware Embedding for Scene Text Detection,
CVPR19(4229-4238).
IEEE DOI 2002
BibRef

Liu, Y.L.[Yu-Liang], Jin, L.W.[Lian-Wen], Xie, Z.[Zecheng], Luo, C.[Canjie], Zhang, S.[Shuaitao], Xie, L.[Lele],
Tightness-Aware Evaluation Protocol for Scene Text Detection,
CVPR19(9604-9612).
IEEE DOI 2002
BibRef

Meng, L.[Lin], Lyu, B.[Bing], Zhang, Z.[Zhiyu], Aravinda, C.V., Kamitoku, N.[Naoto], Yamazaki, K.[Katsuhiro],
Oracle Bone Inscription Detector Based on SSD,
NTIAP19(126-136).
Springer DOI 1909
BibRef

He, D.F.[Da-Fang], Li, Y.Q.[Ye-Qing], Gorban, A.[Alexander], Heath, D.[Derrall], Ibarz, J.[Julian], Yu, Q.[Qian], Kifer, D.[Daniel], Giles, C.L.[C. Lee],
Large Scale Scene Text Verification with Guided Attention,
ACCV18(V:260-275).
Springer DOI 1906
BibRef

Huang, Z., Zhong, Z., Sun, L., Huo, Q.,
Mask R-CNN With Pyramid Attention Network for Scene Text Detection,
WACV19(764-772)
IEEE DOI 1904
feature extraction, natural scenes, object detection, text analysis, text detection, pyramid attention network, Benchmark testing BibRef

Liu, C.[Chao], Zou, Y.X.[Yue-Xian], Yang, D.M.[Dong-Ming],
Enhancing Scene Text Detection via Fused Semantic Segmentation Network with Attention,
MMMod19(I:531-542).
Springer DOI 1901
BibRef

Yu, Z., Lyu, S., Lu, Y., Wang, P.S.P.,
A Fusion Strategy for the Single Shot Text Detector,
ICPR18(3687-3691)
IEEE DOI 1812
feature extraction, image fusion, text analysis, text detection, single fully convolution network, fusion strategy, Training BibRef

Mohanty, S., Dutta, T., PrabhatGupta, H.,
Robust Scene Text Detection with Deep Feature Pyramid Network and CNN based NMS Model,
ICPR18(3741-3746)
IEEE DOI 1812
Feature extraction, Task analysis, Semantics, Training, Image resolution, BibRef

Song, Y.[Yu], Cui, Y.S.[Yuan-Shun], Han, H.[Hu], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
Scene Text Detection via Deep Semantic Feature Fusion and Attention-based Refinement,
ICPR18(3747-3752)
IEEE DOI 1812
Feature extraction, Semantics, Text recognition, Proposals, Task analysis, Object detection BibRef

Cui, Y.S.[Yuan-Shun], Li, J.[Jie], Han, H.[Hu], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
TKDN: Scene Text Detection via Keypoints Detection,
ACCV18(V:231-246).
Springer DOI 1906
BibRef

Wang, H., Huang, S., Jin, L.,
Focus on Scene Text Using Deep Reinforcement Learning,
ICPR18(3759-3765)
IEEE DOI 1812
Feature extraction, Proposals, History, Task analysis, Visualization, Markov processes BibRef

Mohanty, S., Dutta, T., Gupta, H.P.,
An Efficient System for Hazy Scene Text Detection using a Deep CNN and Patch-NMS,
ICPR18(2588-2593)
IEEE DOI 1812
Task analysis, Feature extraction, Image resolution, Semantics, Detectors, Image color analysis BibRef

Wang, F., Zhao, L., Li, X., Wang, X., Tao, D.,
Geometry-Aware Scene Text Detection with Instance Transformation Network,
CVPR18(1381-1389)
IEEE DOI 1812
Feature extraction, Adaptation models, Proposals, Standards, Convolutional neural networks, Task analysis, Strain BibRef

Gómez, L.[Lluís], Mafla, A.[Andrés], Rusiñol, M.[Marçal], Karatzas, D.[Dimosthenis],
Single Shot Scene Text Retrieval,
ECCV18(XIV: 728-744).
Springer DOI 1810
BibRef

Peng, B.[Bo], Tan, W.[Wenming], Li, Z.[Zheyang], Xue, C.[Chuhui], Lu, S.J.[Shi-Jian], Zhan, F.N.[Fang-Neng],
Accurate Scene Text Detection Through Border Semantics Awareness and Bootstrapping,
ECCV18(XVI: 370-387).
Springer DOI 1810
BibRef

Prasad, S.[Shitala], Kong, A.W.K.[Adams Wai Kin],
Using Object Information for Spotting Text,
ECCV18(XVI: 559-576).
Springer DOI 1810
BibRef

Tian, X., Wu, D., Wang, R., Cao, X.,
Focal Text: an Accurate Text Detection with Focal Loss,
ICIP18(2984-2988)
IEEE DOI 1809
Training, Task analysis, Image segmentation, Feature extraction, Convolution, Standards, Neural networks, Text detection, FCN, Text Segmentation BibRef

Mohanty, S., Dutta, T., Gupta, H.P.,
Recurrent Global Convolutional Network for Scene Text Detection,
ICIP18(2750-2754)
IEEE DOI 1809
Feature extraction, Neurons, Training, Lighting, Recurrent neural networks, Task analysis, Scene Text Detection BibRef

Cai, C., Lv, P., Su, B.,
Feature Fusion Network for Scene Text Detection,
ICIP18(2755-2759)
IEEE DOI 1809
Feature extraction, Detectors, Training, Convolution, Lighting, Distortion, Benchmark testing, Scene Text Detection, Deep Learning BibRef

Diaz-Escobar, J.[Julia], Kober, V.[Vitaly],
Scene Text Segmentation Based on Local Image Phase Information and MSER Method,
MCPR18(211-220).
Springer DOI 1807
BibRef

Ran, L., Wang, W.,
Learning multi-view embedding in joint space for bidirectional image-text retrieval,
VCIP17(1-4)
IEEE DOI 1804
expectation-maximisation algorithm, image representation, image retrieval, learning (artificial intelligence), Two-branch neural network BibRef

Li, J.J.[Jian-Jun], Wang, C.Y.[Chen-Yan], Luo, Z.X.[Zhen-Xing], Tang, Z.[Zhuo], Li, H.J.[Hao-Jie],
Accurate Detection for Scene Texts with a Cascaded CNN Networks,
MMMod18(II:36-47).
Springer DOI 1802
BibRef

Siegmund, D.[Dirk], Wainakh, A.[Aidmar], Ebert, T.[Tina], Braun, A.[Andreas], Kuijper, A.[Arjan],
Text Localization in Born-Digital Images of Advertisements,
CIARP17(627-634).
Springer DOI 1802
BibRef

Plummer, B.A.[Bryan A.], Mallya, A.[Arun], Cervantes, C.M.[Christopher M.], Hockenmaier, J.[Julia], Lazebnik, S.[Svetlana],
Phrase Localization and Visual Relationship Detection with Comprehensive Image-Language Cues,
ICCV17(1946-1955)
IEEE DOI 1802
inference mechanisms, learning (artificial intelligence), natural language processing, Flickr30k Entities dataset, Visualization BibRef

Tian, S., Lu, S., Li, C.,
WeText: Scene Text Detection under Weak Supervision,
ICCV17(1501-1509)
IEEE DOI 1802
regression analysis, text analysis, text detection, unsupervised learning, annotated training data, Training BibRef

Zhou, X., Yao, C., Wen, H., Wang, Y., Zhou, S., He, W., Liang, J.,
EAST: An Efficient and Accurate Scene Text Detector,
CVPR17(2642-2651)
IEEE DOI 1711
Feature extraction, Geometry, Merging, Neural networks, Pipelines, Proposals, Shape BibRef

Peuwnuan, K., Woraratpanya, K., Pasupa, K., Kuroki, Y.,
Local variance image-based for scene text binarization under illumination effects,
ICIVC17(798-802)
IEEE DOI 1708
Gray-scale, Ice, Image segmentation, Random access memory, Standards, adaptive thresholding, edge enhancement, illumination effect, image segmentation, local variance image, scene, text, binarization BibRef

Guan, L.B.[Lei-Bin], Chu, J.Z.[Ji-Zheng],
Natural scene text detection based on SWT, MSER and candidate classification,
ICIVC17(26-30)
IEEE DOI 1708
Computational efficiency, Feature extraction, Filtering theory, Image edge detection, Merging, Maximally Extremal Regions (MSER), Stroke Width Transform (SWT), candidate classification, connected component, text, detection BibRef

He, D.F.[Da-Fang], Yang, X.[Xiao], Huang, W.[Wenyi], Zhou, Z.[Zihan], Kifer, D.[Daniel], Giles, C.L.[C. Lee],
Aggregating Local Context for Accurate Scene Text Detection,
ACCV16(V: 280-296).
Springer DOI 1704
BibRef

Ibrahim, A.[Ahmed], Abbott, A.L.[A. Lynn], Hussein, M.E.[Mohamed E.],
An Image Dataset of Text Patches in Everyday Scenes,
ISVC16(II: 291-300).
Springer DOI 1701
Dataset, Scene Text. BibRef

Liu, R.Z.[Ruo-Ze], Sun, X.[Xin], Xu, H.L.[Hai-Liang], Shivakumara, P.[Palaiahnakote], Su, F.[Feng], Lu, T.[Tong], Yang, R.[Ruoyu],
Robust Scene Text Detection for Multi-script Languages Using Deep Learning,
MMMod17(I: 329-340).
Springer DOI 1701
BibRef

Cho, H., Sung, M., Jun, B.,
Canny Text Detector: Fast and Robust Scene Text Localization Algorithm,
CVPR16(3566-3573)
IEEE DOI 1612
BibRef

Rohrbach, A.[Anna], Rohrbach, M.[Marcus], Hu, R.[Ronghang], Darrell, T.J.[Trevor J.], Schiele, B.[Bernt],
Grounding of Textual Phrases in Images by Reconstruction,
ECCV16(I: 817-834).
Springer DOI 1611
BibRef

Tian, Z.[Zhi], Huang, W.[Weilin], He, T.[Tong], He, P.[Pan], Qiao, Y.[Yu],
Detecting Text in Natural Image with Connectionist Text Proposal Network,
ECCV16(VIII: 56-72).
Springer DOI 1611
BibRef

Anderson, P.[Peter], Fernando, B.[Basura], Johnson, M.[Mark], Gould, S.[Stephen],
SPICE: Semantic Propositional Image Caption Evaluation,
ECCV16(V: 382-398).
Springer DOI 1611
BibRef

Patel, Y.[Yash], Gomez, L.[Lluis], Rusiñol, M.[Marçal], Karatzas, D.[Dimosthenis],
Dynamic Lexicon Generation for Natural Scene Images,
IWRR16(I: 395-410).
Springer DOI 1611
BibRef

Zhang, L., Fang, B., Zhao, X., Zhang, H.S.,
Pointer-type meter automatic reading from complex environment based on visual saliency,
ICWAPR16(264-269)
IEEE DOI 1611
Detectors BibRef

Li, G., Liu, J., Zhang, S., Zheng, Y.,
Scene text detection with extremal region based cascaded filtering,
ICIP16(2896-2900)
IEEE DOI 1610
Entropy BibRef

Zhu, R.[Rui], Mao, X.J.[Xiao-Jiao], Zhu, Q.H.[Qi-Hai], Li, N.[Ning], Yang, Y.B.[Yu-Bin],
Text detection based on convolutional neural networks with spatial pyramid pooling,
ICIP16(1032-1036)
IEEE DOI 1610
Feature extraction BibRef

Diaz-Escobar, J.[Julia], Kober, V.[Vitaly],
Text Detection in Digital Images Captured with Low Resolution Under Nonuniform Illumination Conditions,
MCPR16(3-12).
Springer DOI 1608
BibRef

Baig, A.[Asim], Al-Maadeed, S.[Somaya], Bouridane, A.[Ahmed], Cheriet, M.[Mohamed],
Direct Unsupervised Text Line Extraction from Colored Historical Manuscript Images Using DCT,
ICIAR16(753-762).
Springer DOI 1608
BibRef

Qin, S., Manduchi, R.,
A fast and robust text spotter,
WACV16(1-8)
IEEE DOI 1606
Benchmark testing BibRef

Xiong, B., Grauman, K.,
Text detection in stores using a repetition prior,
WACV16(1-9)
IEEE DOI 1606
Cameras BibRef

Tian, S., Pan, Y., Huang, C., Lu, S., Yu, K., Tan, C.L.,
Text Flow: A Unified Text Detection System in Natural Scene Images,
ICCV15(4651-4659)
IEEE DOI 1602
Boosting BibRef

Buta, M., Neumann, L., Matas, J.G.,
FASText: Efficient Unconstrained Scene Text Detector,
ICCV15(1206-1214)
IEEE DOI 1602
Detectors BibRef

Mehta, R.[Rakesh], Chum, O.[Ondrej], Matas, J.G.[Jiri G.],
Towards visual words to words,
ICDAR15(641-645)
IEEE DOI 1511
BibRef

Chen, K.[Kai], Yin, F.[Fei], Hussain, A.[Amir], Liu, C.L.[Cheng-Lin],
Efficient text localization in born-digital images by local contrast-based segmentation,
ICDAR15(291-295)
IEEE DOI 1511
Text localization BibRef

Sung, M.C.[Myung-Chul], Jun, B.J.[Bong-Jin], Cho, H.[Hojin], Kim, D.J.[Dai-Jin],
Scene text detection with robust character candidate extraction method,
ICDAR15(426-430)
IEEE DOI 1511
BibRef

Gao, R.[Renwu], Eguchi, S.[Shoma], Uchida, S.[Seiichi],
True color distributions of scene text and background,
ICDAR15(506-510)
IEEE DOI 1511
BibRef

Wang, Q.Q.[Qing-Qing], Lu, Y.[Yue], Wen, Y.[Ying],
Scene text detection using sequential nontext filtering,
ICIP15(1742-1746)
IEEE DOI 1511
MSER BibRef

Wang, Q.Q.[Qing-Qing], Lu, Y.[Yue], Sun, S.L.[Shi-Liang],
Text detection in nature scene images using two-stage nontext filtering,
ICDAR15(106-110)
IEEE DOI 1511
CRF; MSERs; edge-cut; nontext filtering; random forests; text detection BibRef

Zhang, C.Q.[Cheng-Quan], Yao, C.[Cong], Shi, B.G.[Bao-Guang], Bai, X.[Xiang],
Automatic discrimination of text and non-text natural images,
ICDAR15(886-890)
IEEE DOI 1511
BibRef

Zhang, Z.[Zheng], Shen, W.[Wei], Yao, C.[Cong], Bai, X.[Xiang],
Symmetry-based text line detection in natural scenes,
CVPR15(2558-2567)
IEEE DOI 1510
BibRef

Chiba, N.[Naoki], Liu, X.[Xinhao],
Character extraction by integrating color into edge-based methods,
MVA15(73-76)
IEEE DOI 1507
Brightness BibRef

Aswatha, S.M.[Shashaank M.], Talla, A.N.[Ananth Nath], Mukhopadhyay, J.[Jayanta], Bhowmick, P.[Partha],
A Method for Extracting Text from Stone Inscriptions Using Character Spotting,
eHeritage14(598-611).
Springer DOI 1504
BibRef

Tonouchi, Y.[Yojiro], Suzuki, K.[Kaoru], Osada, K.[Kunio],
A Hybrid Approach to Detect Texts in Natural Scenes by Integration of a Connected-Component Method and a Sliding-Window Method,
IWRR14(106-118).
Springer DOI 1504
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Gallo, I.[Ignazio], Zamberletti, A.[Alessandro], Noce, L.[Lucia],
Robust Angle Invariant GAS Meter Reading,
DICTA15(1-7)
IEEE DOI 1603
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And: A2, A3, A1:
Text Localization Based on Fast Feature Pyramids and Multi-Resolution Maximally Stable Extremal Regions,
IWRR14(91-105).
Springer DOI 1504
automatic meter reading BibRef

Ye, Q.X.[Qi-Xiang], Doermann, D.S.[David S.],
Robust scene text detection using integrated feature discrimination,
ICIP14(1678-1682)
IEEE DOI 1502
Clustering algorithms BibRef

Inai, K.[Kohei], Palsson, M.[Marten], Frinken, V.[Volkmar], Feng, Y.[Yaokai], Uchida, S.[Seiichi],
Selective Concealment of Characters for Privacy Protection,
ICPR14(333-338)
IEEE DOI 1412
Degrade legibility of textual info in images. Feature extraction BibRef

Sun, L.[Lei], Huo, Q.A.[Qi-Ang], Jia, W.[Wei], Chen, K.[Kai],
Robust Text Detection in Natural Scene Images by Generalized Color-Enhanced Contrasting Extremal Region and Neural Networks,
ICPR14(2715-2720)
IEEE DOI 1412
Accuracy BibRef

Zhang, C.[Chuhan], Gupta, A.[Ankush], Zisserman, A.[Andrew],
Adaptive Text Recognition Through Visual Matching,
ECCV20(XVI: 51-67).
Springer DOI 2010
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Jaderberg, M.[Max], Vedaldi, A.[Andrea], Zisserman, A.[Andrew],
Deep Features for Text Spotting,
ECCV14(IV: 512-528).
Springer DOI 1408
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Liu, X.H.[Xin-Hao], Chiba, N.,
Transparent Text Detection and Background Recovery,
ACPR13(642-646)
IEEE DOI 1408
edge detection BibRef

Wang, H.C.[Hsueh-Cheng], Landa, Y.[Yafim], Fallon, M.[Maurice], Teller, S.[Seth],
Spatially Prioritized and Persistent Text Detection and Decoding,
CBDAR13(3-17).
Springer DOI 1404
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Ye, Q.X.[Qi-Xiang], Doermann, D.S.[David S.],
Scene Text Detection via Integrated Discrimination of Component Appearance and Consensus,
CBDAR13(47-59).
Springer DOI 1404
BibRef

Wang, L.[Liuan], Fan, W.[Wei], He, Y.[Yuan], Sun, J.[Jun], Katsuyama, Y.[Yutaka], Hotta, Y.[Yoshinobu],
Fast and Accurate Text Detection in Natural Scene Images with User-Intention,
ICPR14(2920-2925)
IEEE DOI 1412
Classification algorithms BibRef

Wang, L.[Liuan], Katsuyama, Y.[Yutaka], Fan, W.[Wei], He, Y.[Yuan], Sun, J.[Jun], Hotta, Y.[Yoshinobu],
Text detection in natural scene images with user-intention,
ICIP13(2256-2259)
IEEE DOI 1402
double edge symmetry BibRef

Li, L.[Liang], Panichkriangkrai, C., Hachimura, K.,
Ukiyo-e Rakkan Retrieval System,
ICDAR13(150-154)
IEEE DOI 1312
Rakkan: signature of the artist for a completed painting. BibRef

Roy, A., Parui, S.K., Roy, U.,
A Pair-Copula Based Scheme for Text Extraction from Digital Images,
ICDAR13(892-896)
IEEE DOI 1312
feature extraction BibRef

Raza, A., Siddiqi, I., Djeddi, C., Ennaji, A.,
Multilingual Artificial Text Detection Using a Cascade of Transforms,
ICDAR13(309-313)
IEEE DOI 1312
feature extraction BibRef

Zhou, Y.[Yahan], Feild, J.L., Learned-Miller, E.G., Wang, R.[Rui],
Scene Text Segmentation via Inverse Rendering,
ICDAR13(457-461)
IEEE DOI 1312
image colour analysis BibRef

Huang, R.[Rong], Shivakumara, P., Uchida, S.,
Scene Character Detection by an Edge-Ray Filter,
ICDAR13(462-466)
IEEE DOI 1312
edge detection BibRef

Gao, S.[Song], Wang, C.H.[Chun-Heng], Xiao, B.H.[Bai-Hua], Shi, C.Z.[Cun-Zhao], Zhang, Y.[Yang], Lv, Z.J.[Zhi-Jian], Shi, Y.Q.[Yan-Qin],
Adaptive Scene Text Detection Based on Transferring Adaboost,
ICDAR13(388-392)
IEEE DOI 1312
image classification BibRef

Zagoris, K., Pratikakis, I.,
Text Detection in Natural Images Using Bio-inspired Models,
ICDAR13(1370-1374)
IEEE DOI 1312
text detection BibRef

Bai, B.[Bo], Yin, F.[Fei], Liu, C.L.[Cheng Lin],
Scene Text Localization Using Gradient Local Correlation,
ICDAR13(1380-1384)
IEEE DOI 1312
image classification BibRef

Fidler, S.[Sanja], Sharma, A.[Abhishek], Urtasun, R.[Raquel],
A Sentence Is Worth a Thousand Pixels,
CVPR13(1995-2002)
IEEE DOI 1309
Holistic scene models; Images and text; Scene understanding BibRef

Clavelli, A.[Antonio], Karatzas, D.[Dimosthenis], Lladós, J.[Josep], Ferraro, M.[Mario],
Towards Modelling an Attention-Based Text Localization Process,
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ICPR12(1197-1200).
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Sun, L.[Lei], Huo, Q.A.[Qi-Ang],
A component-tree based method for user-intention guided text extraction,
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Gonzalez, A.[Alvaro], Bergasa, L.M.[Luis M.], Yebes, J.J.[J. Javier], Bronte, S.[Sebastian],
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Phan, T.Q.[Trung Quy], Shivakumara, P.[Palaiahnakote], Tan, C.L.[Chew Lim],
Text detection in natural scenes using Gradient Vector Flow-Guided symmetry,
ICPR12(3296-3299).
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Felhi, M.[Mehdi], Bonnier, N.[Nicolas], Tabbone, S.A.[Salvatore A.],
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A Robust Approach to Extraction of Texts from Camera Captured Images,
CBDAR13(30-46).
Springer DOI 1404
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Du, Y.N.[Yu-Ning], Duan, G.Q.[Gen-Quan], Ai, H.Z.[Hai-Zhou],
Context-based text detection in natural scenes,
ICIP12(1857-1860).
IEEE DOI 1302
BibRef

Zhang, Y.[Yang], Wang, C.H.[Chun-Heng], Xiao, B.H.[Bai-Hua], Shi, C.Z.[Cun-Zhao],
A New Text Extraction Method Incorporating Local Information,
FHR12(252-255).
IEEE DOI 1302
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Kumar, G.[Gaurav], Shi, Z.X.[Zhi-Xin], Setlur, S.[Srirangaraj], Govindaraju, V.[Venu], Ramachandrula, S.[Sitaram],
Keyword Spotting Framework Using Dynamic Background Model,
FHR12(582-587).
IEEE DOI 1302
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Zhou, G.[Gang], Liu, Y.H.[Yue-Hu], Tian, Z.Q.[Zhi-Qiang], Su, Y.Q.[Yuan-Qi],
A new hybrid method to detect text in natural scene,
ICIP11(2605-2608).
IEEE DOI 1201
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Chen, H.Z.[Hui-Zhong], Tsai, S.S.[Sam S.], Schroth, G.[Georg], Chen, D.M.[David M.], Grzeszczuk, R.[Radek], Girod, B.[Bernd],
Robust text detection in natural images with edge-enhanced Maximally Stable Extremal Regions,
ICIP11(2609-2612).
IEEE DOI 1201
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Rais, M.[Martin], Goussies, N.A.[Norberto A.], Mejail, M.E.[Marta E.],
Using Adaptive Run Length Smoothing Algorithm for Accurate Text Localization in Images,
CIARP11(149-156).
Springer DOI 1111
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Du, Y.[Yuning], Ai, H.Z.[Hai-Zhou], Lao, S.H.[Shi-Hong],
Dot Text Detection Based on FAST Points,
ICDAR11(435-439).
IEEE DOI 1111
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Gleichman, S.[Sivan], Ophir, B.[Boaz], Geva, A.B.[Amir B.], Marder, M.[Mattias], Barkan, E.[Ella], Packer, E.[Eli],
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ICDAR11(424-428).
IEEE DOI 1111
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Pan, Y.F.[Yi-Feng], Zhu, Y.P.[Yuan-Ping], Sun, J.[Jun], Naoi, S.[Satoshi],
Improving Scene Text Detection by Scale-Adaptive Segmentation and Weighted CRF Verification,
ICDAR11(759-763).
IEEE DOI 1111
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Uchida, S.[Seiichi], Shigeyoshi, Y.[Yuki], Kunishige, Y.[Yasuhiro], Yaokai, F.[Feng],
A Keypoint-Based Approach toward Scenery Character Detection,
ICDAR11(819-823).
IEEE DOI 1111
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Kunishige, Y.[Yasuhiro], Yaokai, F.[Feng], Uchida, S.[Seiichi],
Scenery Character Detection with Environmental Context,
ICDAR11(1049-1053).
IEEE DOI 1111
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Lee, J.J.[Jung-Jin], Lee, P.H.[Pyoung-Hean], Lee, S.W.[Seong-Whan], Yuille, A.L.[Alan L.], Koch, C.[Christof],
AdaBoost for Text Detection in Natural Scene,
ICDAR11(429-434).
IEEE DOI 1111
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Liu, J.[Jie], Li, H.P.[He-Ping], Zhang, S.[Shuwu], Liang, W.[Wei],
A Novel Italic Detection and Rectification Method for Chinese Advertising Images,
ICDAR11(698-702).
IEEE DOI 1111
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Situ, L.J.[Liang-Ji], Liu, R.Z.[Rui-Zhe], Tan, C.L.[Chew Lim],
Text Localization in Web Images Using Probabilistic Candidate Selection Model,
ICDAR11(1359-1363).
IEEE DOI 1111
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Gao, R.[Renwu], Shafait, F.[Faisal], Uchida, S.[Seiichi], Feng, Y.[Yaokai],
A Hierarchical Visual Saliency Model for Character Detection in Natural Scenes,
CBDAR13(18-29).
Springer DOI 1404
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Jaber, T., Amira, A., Milligan, P.,
Textual noise analysis and removal for effective search engines,
EUVIP10(129-133).
IEEE DOI 1110
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Makridis, M.[Michael], Mitrakis, N.E.[Nikolaos E.], Nikolaou, N.[Nikolaos], Papamarkos, N.[Nikolaos],
Text Extraction Using Component Analysis and Neuro-fuzzy Classification on Complex Backgrounds,
SCIA11(742-751).
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Trémeau, A.[Alain], Godau, C.[Christoph], Karaoglu, S.[Sezer], Muselet, D.[Damien],
Detecting Text in Natural Scenes Based on a Reduction of Photometric Effects: Problem of Color Invariance,
CCIW11(214-229).
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Trémeau, A.[Alain], Fernando, B.[Basura], Karaoglu, S.[Sezer], Muselet, D.[Damien],
Detecting Text in Natural Scenes Based on a Reduction of Photometric Effects: Problem of Text Detection,
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A Novel Algorithm for Text Detection and Localization in Natural Scene Images,
DICTA10(635-642).
IEEE DOI 1012
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Petter, M.[Marc], Fragoso, V.[Victor], Turk, M.[Matthew], Baur, C.[Charles],
Automatic text detection for mobile augmented reality translation,
IWMV11(48-55).
IEEE DOI 1201
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Sanketi, P.[Pannag], Shen, H.Y.[Hui-Ying], Coughlan, J.M.[James M.],
Localizing blurry and low-resolution text in natural images,
WACV11(503-510).
IEEE DOI 1101
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Pan, Y.F.[Yi-Feng], Liu, C.L.[Cheng-Lin], Hou, X.W.[Xin-Wen],
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ICIP10(2269-2272).
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Mavaddat, N.[Navid], Kim, T.K.[Tae-Kyun], Cipolla, R.[Roberto],
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ICPR10(3991-3995).
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Jung, I.[Insook], Oh, I.S.[Il-Seok],
Local Binary Pattern-Based Features for Text Identification of Web Images,
ICPR10(4320-4323).
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CISP09(1-5).
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Clavelli, A.[Antonio], Karatzas, D.[Dimosthenis],
Text Segmentation in Colour Posters from the Spanish Civil War Era,
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Chowdhury, S.P.[Shyama Prosad], Dhar, S.[Soumyadeep], Das, A.K.[Amit Kumar], Chanda, B.[Bhabatosh], McMenemy, K.[Karen],
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Zini, L.[Luca], Destrero, A.[Augusto], Odone, F.[Francesca],
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Hanif, S.M.[Shehzad Muhammad], Prevost, L.[Lionel],
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ICDAR09(1-5).
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Emmanouilidis, C.[Christos], Batsalas, C.[Costas], Papamarkos, N.[Nikos],
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ICDAR09(1270-1274).
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ICPR08(1-4).
IEEE DOI 0812
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Hanif, S.M.[Shehzad Muhammad], Prevost, L.[Lionel], Negri, P.A.[Pablo Augusto],
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ICPR08(1-4).
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Liu, F.[Fang], Peng, X.[Xiang], Wang, T.[Tianjiang], Lu, S.F.[Song-Feng],
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ICPR08(1-4).
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Jafri, S.A.R.[Syed Ali Raza], Boutin, M.[Mireille], Delp, E.J.[Edward J.],
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ICIP08(3196-3199).
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di Stefano, L.[Luigi], Tombari, F.[Federico], Lanza, A.[Alessandro], Mattoccia, S.[Stefano], Monti, S.[Stefano],
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Tombari, F.[Federico], di Stefano, L.[Luigi], Mattoccia, S.[Stefano], Zanetti, A.[Andrea],
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Xu, P.F.[Peng-Fei], Ji, R.R.[Rong-Rong], Yao, H.X.[Hong-Xun], Sun, X.S.[Xiao-Shuai], Liu, T.Q.[Tian-Qiang], Liu, X.M.[Xian-Ming],
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Shen, H.Y.[Hui-Ying], Coughlan, J.L.[James L.],
Grouping Using Factor Graphs: An Approach for Finding Text with a Camera Phone,
GbRPR07(394-403).
Springer DOI 0706
BibRef
Earlier:
Finding Text in Natural Scenes by Figure-Ground Segmentation,
ICPR06(IV: 113-118).
IEEE DOI 0609
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And:
Reading LCD/LED Displays with a Camera Cell Phone,
EmbedCV06(119).
IEEE DOI 0609
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Claudino, L.M.B.[Leonardo M. B.], Braga, A.P.[Antônio P.], Araújo, A.A.[Arnaldo A.], Oliveira, A.F.[André F.],
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Liu, C.M.[Chun-Mei], Wang, C.H.[Chun-Heng], Dai, R.W.[Ru-Wei],
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ICDAR05(II: 610-614).
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Bargeron, D., Viola, P., Simard, P.Y.,
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ICDAR05(II: 1166-1171).
IEEE DOI 0508
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Li, C.[Chuang], Ding, X.Q.[Xiao-Qing], Wu, Y.S.[You-Shou],
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Nourbakhsh, F.[Farshad], Pati, P.B.[Peeta Basa], Ramakrishnan, A.G.,
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Raju, S.S.[S. Sabari], Pati, P.B., Ramakrishnan, A.G.,
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ISVC05(486-493).
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Kim, J.S.[Ji-Soo], Park, S.C.[Sang-Cheol], Kim, S.H.[Soo-Hyung],
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ICDAR05(II: 655-659).
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Angiati, D., Gera, G., Piva, S., Regazzoni, C.S.,
A novel method for graffiti detection using change detection algorithm,
AVSBS05(242-246).
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Marcenaro, L., Oberti, F., Regazzoni, C.S.,
Change Detection Methods for Automatic Scene Analysis by Using Mobile Surveillance Cameras,
ICIP00(Vol I: 244-247).
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Zhang, D.Q.[Dong-Qing], Chang, S.F.[Shih-Fu],
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LCV04(101).
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Yamaguchi, T., Maruyama, M.,
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ICPR04(II: 687-690).
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Wang, H.[Hao],
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CIAP01(2-7).
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Bertucci, E., Pilu, M., Mirmehdi, M.,
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ICDAR03(555-559).
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Pilu, M., Pollard, S.,
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BMVC02(Poster Session). 0208
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Wang, H.[Hao], Kangas, J.,
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ICDAR01(957-962).
IEEE DOI 0109
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Jin, N.[Ning], Tang, Y.Y.,
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ICDAR01(1126-1130).
IEEE DOI 0109
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Shiku, O.[Osamu], Kawasue, K.[Kikuhito], Nakamura, A.[Akira],
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ICPR98(Vol II: 1077-1080).
IEEE DOI 9808
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Chutatape, O.[Opas], Li, L.[Li],
Character extraction from scene image using fuzzy entropy and rule-based technique,
CAIP97(597-604).
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Chapter on OCR, Document Analysis and Character Recognition Systems continues in
Text Detection, Scene Text, Curved Text, Arbitrary Orientation .


Last update:Nov 1, 2021 at 09:26:50