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IEEE DOI Siemens
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Survey, License Plates.
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Color recognition; Fuzzy logic; HSV color space;
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License plate recognition; Multi-style license plate; Configurable
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Real-Time License Plate Recognition on an Embedded DSP-Platform,
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IEEE DOI
0706
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Fan, X.[Xin],
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Graphical Models for Joint Segmentation and Recognition of License
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SPLetters(16), No. 1, January 2009, pp. 10-13.
IEEE DOI
0901
BibRef
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Joint Segmentation and Recognition of License Plate Characters,
ICIP07(IV: 353-356).
IEEE DOI
0709
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IET-CV(1), No. 1, March 2007, pp. 2-10.
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License plate recognition; Edge analysis; Morphological processing;
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License plate localization based on a probabilistic model,
MVA(21), No. 3, April 2010, pp. xx-yy.
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Operator Context Scanning algorithm; Sliding windows analysis; License
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Menendez, J.M.,
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Optimal Use of Plate-Scanning Resources for Route Flow Estimation in
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License plate recognition software targets embedded systems,
VisSys(17), No. 1, January 2012.
HTML Version.
1201
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Automatic vehicle identification for Argentinean license plates using
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License plate recognition; Template recognition; Image processing
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Principal Visual Word Discovery for Automatic License Plate Detection,
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An Online Self-Learning Algorithm for License Plate Matching,
ITS(14), No. 4, 2013, pp. 1806-1816.
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Accuracy
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Component-Based License Plate Detection Using Conditional Random
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Computer vision
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License plate location
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computer vision
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Using Radon Transform to Recognize Skewed Images of Vehicular License
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Algorithm design and analysis
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Automatic license plate detection in hazardous condition,
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Automatic license plate detection
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Vehicle License Plate Recognition Based on Extremal Regions and
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ITS(17), No. 4, April 2016, pp. 1096-1107.
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Character recognition
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Fang, L.,
Li, H.,
Robust Blur Kernel Estimation for License Plate Images From Fast
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Efficient method for vehicle license plate identification based on
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IET-ITS(10), No. 6, 2016, pp. 389-395.
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1608
feature extraction
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Chun, Q.[Qi],
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IET-ITS(10), No. 8, 2016, pp. 535-544.
DOI Link
1610
image colour analysis
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Chun, Q.[Qi],
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JVCIR(46), No. 1, 2017, pp. 176-186.
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1706
License, plate, detection
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A Robust and Efficient Approach to License Plate Detection,
IP(26), No. 3, March 2017, pp. 1102-1114.
IEEE DOI
1703
image capture
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Multiwavelet transform based license plate detection,
JVCIR(44), No. 1, 2017, pp. 128-138.
Elsevier DOI
1703
License plate detection
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Türkyilmaz, I.[Ibrahim],
Kaçan, K.[Kirami],
License Plate Recognition System Using Artificial Neural Networks,
ETRI(39), No. 2, April 2017, pp. 163-172.
DOI Link
1704
BibRef
Panahi, R.,
Gholampour, I.,
Accurate Detection and Recognition of Dirty Vehicle Plate Numbers for
High-Speed Applications,
ITS(18), No. 4, April 2017, pp. 767-779.
IEEE DOI
1704
Algorithm design and analysis
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Kim, D.[Daehun],
Ku, B.[Bonhwa],
Han, D.K.[David K.],
Ko, H.S.[Han-Seok],
License Plate Detection and Character Segmentation Using Adaptive
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IEICE(E100-D), No. 6, June 2017, pp. 1384-1387.
WWW Link.
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Ku, B.[Bonhwa],
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Ko, H.S.[Han-Seok],
License Plate Detection Using Local Structure Patterns,
AVSS10(574-579).
IEEE DOI
1009
BibRef
Bulan, O.,
Kozitsky, V.,
Ramesh, P.,
Shreve, M.,
Segmentation- and Annotation-Free License Plate Recognition With Deep
Localization and Failure Identification,
ITS(18), No. 9, September 2017, pp. 2351-2363.
IEEE DOI
1709
neural nets, optical character recognition,
plate localization, plate-layout variation,
BibRef
Wang, Y.,
Bialkowski, K.S.,
Pretorius, A.J.,
du Plooy, A.G.W.,
Abbosh, A.M.,
In-Road Microwave Sensor for Electronic Vehicle Identification and
Tracking: Link Budget Analysis and Antenna Prototype,
ITS(19), No. 1, January 2018, pp. 123-128.
IEEE DOI
1801
Antenna radiation patterns, Licenses, Microwave sensors,
Radiofrequency identification, Roads, Signal to noise ratio,
microwave traffic sensor
BibRef
Khan, M.A.[Muhammad Attique],
Sharif, M.[Muhammad],
Javed, M.Y.[Muhammad Younus],
Akram, T.[Tallha],
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Saba, T.[Tanzila],
License number plate recognition system using entropy-based features
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IET-IPR(12), No. 2, February 2018, pp. 200-209.
DOI Link
1801
BibRef
Xie, L.,
Ahmad, T.,
Jin, L.,
Liu, Y.,
Zhang, S.,
A New CNN-Based Method for Multi-Directional Car License Plate
Detection,
ITS(19), No. 2, February 2018, pp. 507-517.
IEEE DOI
1802
Automobiles, Computational modeling, Feature extraction, Licenses,
Training, License plate detection, MD-YOLO,
multi-direction
BibRef
Li, H.[Hui],
Wang, P.[Peng],
You, M.Y.[Ming-Yu],
Shen, C.H.[Chun-Hua],
Reading car license plates using deep neural networks,
IVC(72), 2018, pp. 14-23.
Elsevier DOI
1804
Car plate detection and recognition,
Convolutional neural networks, Recurrent neural networks, LSTM
BibRef
Zhao, Y.T.[You-Ting],
Yu, Z.[Zhi],
Li, X.Y.[Xi-Ying],
Evaluation methodology for license plate recognition systems and
experimental results,
IET-ITS(12), No. 5, June 2018, pp. 375-385.
DOI Link
1805
BibRef
Negri, P.[Pablo],
A MATLAB SMO Implementation to Train a SVM Classifier:
Application to Multi-Style License Plate Numbers Recognition,
IPOL(8), 2018, pp. 51-70.
DOI Link
1806
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Yepez, J.[Juan],
Ko, S.B.[Seok-Bum],
Improved license plate localisation algorithm based on morphological
operations,
IET-ITS(12), No. 6, August 2018, pp. 542-549.
DOI Link
1807
BibRef
Raghunandan, K.S.,
Shivakumara, P.,
Jalab, H.A.,
Ibrahim, R.W.,
Kumar, G.H.,
Pal, U.,
Lu, T.,
Riesz Fractional Based Model for Enhancing License Plate Detection
and Recognition,
CirSysVideo(28), No. 9, September 2018, pp. 2276-2288.
IEEE DOI
1809
Licenses, Text recognition, Image edge detection, Robustness,
Image resolution, Lighting, Low quality images, enhancement model,
license plate recognition
BibRef
Shao, W.,
Chen, L.,
License Plate Recognition Data-Based Traffic Volume Estimation Using
Collaborative Tensor Decomposition,
ITS(19), No. 11, November 2018, pp. 3439-3448.
IEEE DOI
1812
estimation theory, image recognition, matrix decomposition,
road traffic, sparse matrices, tensors,
urban data
BibRef
Montero, V.J.[Vince Jebryl],
Jeong, Y.J.[Yong-Jin],
Development of License Plate Recognition on Complex Scene with
Plate-Style Classification and Confidence Scoring Based on KNN,
IEICE(E101-D), No. 12, December 2018, pp. 3181-3189.
WWW Link.
1812
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Li, H.,
Wang, P.,
Shen, C.,
Toward End-to-End Car License Plate Detection and Recognition With
Deep Neural Networks,
ITS(20), No. 3, March 2019, pp. 1126-1136.
IEEE DOI
1903
Licenses, Text recognition, Character recognition,
Image edge detection, Feature extraction, Task analysis,
recurrent neural networks
BibRef
Min, W.D.[Wei-Dong],
Li, X.P.[Xiang-Peng],
Wang, Q.[Qi],
Zeng, Q.P.[Qing-Peng],
Liao, Y.Q.[Yan-Qiu],
New approach to vehicle license plate location based on new model
YOLO-L and plate pre-identification,
IET-IPR(13), No. 7, 30 May 2019, pp. 1041-1049.
DOI Link
1906
BibRef
Arafat, M.Y.[Md Yeasir],
Khairuddin, A.S.M.[Anis Salwa Mohd],
Khairuddin, U.[Uswah],
Paramesran, R.[Raveendran],
Systematic review on vehicular licence plate recognition framework in
intelligent transport systems,
IET-ITS(13), No. 5, May 2019, pp. 745-755.
DOI Link
1906
Survay, License Plates.
BibRef
Molina-Moreno, M.,
González-Díaz, I.,
Díaz-de-María, F.,
Efficient Scale-Adaptive License Plate Detection System,
ITS(20), No. 6, June 2019, pp. 2109-2121.
IEEE DOI
1906
Licenses, Detectors, Feature extraction, Deformable models, Lighting,
Robustness, Image edge detection, License plate detection,
video surveillance
BibRef
Liu, C.,
Chang, F.,
Hybrid Cascade Structure for License Plate Detection in Large Visual
Surveillance Scenes,
ITS(20), No. 6, June 2019, pp. 2122-2135.
IEEE DOI
1906
Licenses, Feature extraction, Image color analysis, Detectors,
Image edge detection, Surveillance, Visualization,
adaptive boosing (AdaBoost)
BibRef
Björklund, T.[Tomas],
Fiandrotti, A.[Attilio],
Annarumma, M.[Mauro],
Francini, G.[Gianluca],
Magli, E.[Enrico],
Robust license plate recognition using neural networks trained on
synthetic images,
PR(93), 2019, pp. 134-146.
Elsevier DOI
1906
License plate recognition (LPR),
Convolutional neural network (CNN), Synthetic training
BibRef
Hendry,
Chen, R.C.[Rung-Ching],
Automatic License Plate Recognition via sliding-window darknet-YOLO
deep learning,
IVC(87), 2019, pp. 47-56.
Elsevier DOI
1906
Automatic License Plate Recognition, Deep learning, YOLO network
BibRef
Yépez, J.[Juan],
Castro-Zunti, R.D.[Riel D.],
Ko, S.B.[Seok-Bum],
Deep learning-based embedded license plate localisation system,
IET-ITS(13), No. 10, October 2019, pp. 1569-1578.
DOI Link
1909
BibRef
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Deshpande, P.[Parag],
Locating multiple license plates using scale, rotation, and
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IET-IPR(13), No. 12, October 2019, pp. 2335-2345.
DOI Link
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BibRef
Al-Zawqari, A.[Ali],
Hommos, O.[Omar],
Al-Qahtani, A.[Abdulhadi],
Farhat, A.A.H.[Ali A. H.],
Bensaali, F.[Faycal],
Zhai, X.J.[Xiao-Jun],
Amira, A.[Abbes],
HD number plate localization and character segmentation on the Zynq
heterogeneous SoC,
RealTimeIP(16), No. 6, December 2019, pp. 2351-2365.
Springer DOI
1912
BibRef
Wu, S.L.[Shi-Lian],
Zhai, W.[Wei],
Cao, Y.[Yang],
PixTextGAN: structure aware text image synthesis for license plate
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IET-IPR(13), No. 14, 12 December 2019, pp. 2744-2752.
DOI Link
1912
BibRef
Selmi, Z.[Zied],
Ben Halima, M.[Mohamed],
Pal, U.[Umapada],
Alimi, M.A.[M. Adel],
DELP-DAR system for license plate detection and recognition,
PRL(129), 2020, pp. 213-223.
Elsevier DOI
2001
LP detection, LP recognition, Deep learning, Mask R-CNN
BibRef
Al-Shemarry, M.S.,
Li, Y.,
Abdulla, S.,
An Efficient Texture Descriptor for the Detection of License Plates
From Vehicle Images in Difficult Conditions,
ITS(21), No. 2, February 2020, pp. 553-564.
IEEE DOI
2002
Feature extraction, Training, Licenses, Image color analysis,
Lighting, Histograms, Robustness, Extreme learning machine,
license plate detection
BibRef
Wang, D.[Di],
Tian, Y.[Yumin],
Geng, W.H.[Wen-Hui],
Zhao, L.[Lin],
Gong, C.[Chen],
LPR-Net: Recognizing Chinese license plate in complex environments,
PRL(130), 2020, pp. 148-156.
Elsevier DOI
2002
License plate recognition, Deep neural network,
License plate location, Character segmentation, Character recognition
BibRef
Hu, X.[Xun],
Li, H.[Hong],
Li, X.R.[Xin-Rong],
Wang, C.[Chiyu],
MobileNet-SSD MicroScope using adaptive error correction algorithm:
real-time detection of license plates on mobile devices,
IET-ITS(14), No. 2, February 2020, pp. 110-118.
DOI Link
2002
BibRef
Castro-Zunti, R.D.[Riel D.],
Yépez, J.[Juan],
Ko, S.B.[Seok-Bum],
License plate segmentation and recognition system using deep learning
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IET-ITS(14), No. 2, February 2020, pp. 119-126.
DOI Link
2002
BibRef
Gao, F.[Fei],
Xu, Y.J.[Yun-Jing],
Ge, Y.[Yisu],
Lu, S.F.[Shu-Fang],
Zhang, Y.M.[Yuan-Ming],
Property-based shadow detection and removal method for licence plate
image,
IET-IPR(14), No. 7, 29 May 2020, pp. 1415-1425.
DOI Link
2005
BibRef
Arafat, M.Y.[Md Yeasir],
Khairuddin, A.S.M.[Anis Salwa Mohd],
Paramesran, R.[Raveendran],
Connected component analysis integrated edge based technique for
automatic vehicular license plate recognition framework,
IET-ITS(14), No. 7, July 2020, pp. 712-723.
DOI Link
2006
BibRef
Gao, F.[Fei],
Cai, Y.C.[Yi-Chao],
Ge, Y.[Yisu],
Lu, S.F.[Shu-Fang],
EDF-LPR: a new encoder-decoder framework for license plate recognition,
IET-ITS(14), No. 8, August 2020, pp. 959-969.
DOI Link
2007
BibRef
Chen, S.,
Yang, C.,
Ma, J.,
Chen, F.,
Yin, X.,
Simultaneous End-to-End Vehicle and License Plate Detection With
Multi-Branch Attention Neural Network,
ITS(21), No. 9, September 2020, pp. 3686-3695.
IEEE DOI
2008
Licenses, Feature extraction, Vehicle detection, Neural networks,
Task analysis, Object detection, Proposals, Vehicle detection,
attention
BibRef
Silva, S.M.[Sergio Montazzolli],
Jung, C.R.[Claudio Rosito],
Real-time license plate detection and recognition using deep
convolutional neural networks,
JVCIR(71), 2020, pp. 102773.
Elsevier DOI
2009
Convolutional neural networks, License plate, Deep learning
BibRef
Chowdhury, P.N.[Pinaki Nath],
Shivakumara, P.[Palaiahnakote],
Jalab, H.A.[Hamid A.],
Ibrahim, R.W.[Rabha W.],
Pal, U.[Umapada],
Lu, T.[Tong],
A new Fractal Series Expansion based enhancement model for license
plate recognition,
SP:IC(89), 2020, pp. 115958.
Elsevier DOI
2010
Enhancement, License plate detection, Fractional calculus,
Fractal Series, License plate recognition
BibRef
Chowdhury, P.N.[Pinaki Nath],
Shivakumara, P.[Palaiahnakote],
Kanchan, S.[Swati],
Raghavendra, R.[Ramachandra],
Pal, U.[Umapada],
Lu, T.[Tong],
Lopresti, D.[Daniel],
Graph attention network for detecting license plates in crowded
street scenes,
PRL(140), 2020, pp. 18-25.
Elsevier DOI
2012
BibRef
Qin, S.X.[Shu-Xin],
Liu, S.J.[Si-Jiang],
Efficient and unified license plate recognition via lightweight deep
neural network,
IET-IPR(14), No. 16, 19 December 2020, pp. 4102-4109.
DOI Link
2103
BibRef
Sun, Y.C.[Yu-Chao],
Peng, Q.[Qiao],
Zhang, D.Y.[Deng-Yin],
Light-YOLOv3: License Plate Detection in Multi-Vehicle Scenario,
IEICE(E104-D), No. 5, May 2021, pp. 723-728.
WWW Link.
2105
BibRef
Jin, X.L.[Xian-Li],
Tang, R.C.[Ruo-Cong],
Liu, L.F.[Lin-Feng],
Wu, J.G.[Jia-Gao],
Vehicle license plate recognition for fog-haze environments,
IET-IPR(15), No. 6, 2021, pp. 1273-1284.
DOI Link
2106
BibRef
Laroca, R.[Rayson],
Zanlorensi, L.A.[Luiz A.],
Gonçalves, G.R.[Gabriel R.],
Todt, E.[Eduardo],
Schwartz, W.R.[William Robson],
Menotti, D.[David],
An efficient and layout-independent automatic license plate
recognition system based on the YOLO detector,
IET-ITS(15), No. 4, 2021, pp. 483-503.
DOI Link
2106
BibRef
Mokayed, H.[Hamam],
Shivakumara, P.[Palaiahnakote],
Woon, H.H.[Hon Hock],
Kankanhalli, M.[Mohan],
Lu, T.[Tong],
Pal, U.[Umapada],
A new DCT-PCM method for license plate number detection in drone
images,
PRL(148), 2021, pp. 45-53.
Elsevier DOI
2107
Discrete cosine transform, Phase congruency,
License plate detection, Scene text detection, Deep learning, Drone images
BibRef
Lin, M.F.[Mian-Fen],
Liu, L.X.[Liang-Xin],
Wang, F.[Fei],
Li, J.C.[Jing-Cong],
Pan, J.H.[Jia-Hui],
License Plate Image Reconstruction Based on Generative Adversarial
Networks,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link
2108
BibRef
Akpojotor, P.[Princewill],
Adetunmbi, A.[Adebayo],
Alese, B.[Boniface],
Oluwatope, A.[Ayodeji],
Automatic license plate recognition on microprocessors and custom
computing platforms: A review,
IET-IPR(15), No. 12, 2021, pp. 2717-2735.
DOI Link
2109
BibRef
Pervej, M.[Masud],
Das, S.[Sabuj],
Hossain, M.P.[Md. Parvez],
Atikuzzaman, M.,
Mahin, M.,
Rahaman, M.A.[Muhammad Aminur],
Real-Time Computer Vision-Based Bangla Vehicle License Plate
Recognition using Contour Analysis and Prediction Algorithm,
IJIG(21), No. 4, October 2021 2021, pp. 2150042.
DOI Link
2110
BibRef
Yépez, J.[Juan],
Castro-Zunti, R.[Riel],
Choi, Y.[Younhee],
Ko, S.B.[Seok-Bum],
Real-time CVSA decals recognition system using deep convolutional
neural network architectures,
IET-ITS(15), No. 11, 2021, pp. 1359-1371.
DOI Link
2110
Commercial Vehicle Safety Alliance. Inspection stickers.
BibRef
Huang, Q.Y.[Qiu-Ying],
Cai, Z.C.[Zhan-Chuan],
Lan, T.[Ting],
A New Approach for Character Recognition of Multi-Style Vehicle
License Plates,
MultMed(23), 2021, pp. 3768-3777.
IEEE DOI
2110
Licenses, Optical character recognition software,
Character recognition, Feature extraction, Proposals,
mask region-based convolutional neural network
BibRef
Zhang, L.J.[Lin-Jiang],
Wang, P.[Peng],
Li, H.[Hui],
Li, Z.[Zhen],
Shen, C.H.[Chun-Hua],
Zhang, Y.N.[Yan-Ning],
A Robust Attentional Framework for License Plate Recognition in the
Wild,
ITS(22), No. 11, November 2021, pp. 6967-6976.
IEEE DOI
2112
Licenses, Image recognition, Character recognition,
Feature extraction,
generative adversarial networks
BibRef
Chen, C.L.P.[C. L. Philip],
Wang, B.S.[Bing-Shu],
Random-Positioned License Plate Recognition Using Hybrid Broad
Learning System and Convolutional Networks,
ITS(23), No. 1, January 2022, pp. 444-456.
IEEE DOI
2201
Licenses, Feature extraction, Character recognition,
Learning systems, Object detection, Image color analysis,
license plate recognition
BibRef
Wang, B.S.[Bing-Shu],
Xiao, H.L.[Hong-Li],
Zheng, J.B.[Jiang-Bin],
Yu, D.X.[Deng-Xiu],
Chen, C.L.P.[C. L. Philip],
Character Segmentation and Recognition of Variable-Length License
Plates Using ROI Detection and Broad Learning System,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Xu, H.[Hui],
Zhou, X.D.[Xiang-Dong],
Li, Z.H.[Zheng-Hao],
Liu, L.C.[Liang-Chen],
Li, C.J.[Chao-Jie],
Shi, Y.[Yu],
EILPR: Toward End-to-End Irregular License Plate Recognition Based on
Automatic Perspective Alignment,
ITS(23), No. 3, March 2022, pp. 2586-2595.
IEEE DOI
2203
Feature extraction, Text recognition, Licenses,
Character recognition, Strain, Image recognition, end-to-end training
BibRef
Zhang, W.G.[Wei-Guo],
Lu, J.Q.[Jia-Qi],
Zhang, J.[Jing],
Li, X.W.[Xue-Wen],
Zhao, Q.[Qi],
Research on the Algorithm of License Plate Recognition Based on MPGAN
Haze Weather,
IEICE(E105-D), No. 5, May 2022, pp. 1085-1093.
WWW Link.
2205
BibRef
Silva, S.M.[Sérgio Montazzolli],
Jung, C.R.[Cláudio Rosito],
A Flexible Approach for Automatic License Plate Recognition in
Unconstrained Scenarios,
ITS(23), No. 6, June 2022, pp. 5693-5703.
IEEE DOI
2206
BibRef
Earlier:
License Plate Detection and Recognition in Unconstrained Scenarios,
ECCV18(XII: 593-609).
Springer DOI
1810
Task analysis, Optical character recognition software, Licenses,
Location awareness, Character recognition,
deep learning
BibRef
Gong, Y.X.[Yan-Xiang],
Deng, L.J.[Lin-Jie],
Tao, S.[Shuai],
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Ma, Z.[Zheng],
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Unified Chinese License Plate detection and recognition with high
efficiency,
JVCIR(86), 2022, pp. 103541.
Elsevier DOI
2206
Chinese license plate dataset,
License plate detection and recognition, End-to-end, Real-time
BibRef
Chen, B.H.[Bo-Hao],
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Yin, J.L.[Jia-Li],
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Chen, D.W.[De-Wang],
Deep Trident Decomposition Network for Single License Plate Image
Glare Removal,
ITS(23), No. 7, July 2022, pp. 6596-6607.
IEEE DOI
2207
Sun, Rain, Licenses, Atmospheric modeling, Computer science, Shape,
Photography, Glare removal, license plate, decomposition network, atmospheric obscuration
BibRef
Ye, S.T.[Shi-Ting],
Yin, J.L.[Jia-Li],
Chen, B.H.[Bo-Hao],
Chen, D.W.[De-Wang],
Wu, Y.B.[Yun-Bing],
Single Image Glare Removal Using Deep Convolutional Networks,
ICIP20(201-205)
IEEE DOI
2011
Decoding, Training, Rain, Testing, Atmospheric modeling,
Image recognition, Text recognition, Glare removal,
electronic toll collection
BibRef
Wang, Y.[Yi],
Bian, Z.P.[Zhen-Peng],
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Chau, L.P.[Lap-Pui],
Rethinking and Designing a High-Performing Automatic License Plate
Recognition Approach,
ITS(23), No. 7, July 2022, pp. 8868-8880.
IEEE DOI
2207
Character recognition, Feature extraction, Licenses,
Optical character recognition software, Image recognition, real-time system
BibRef
Lin, Q.H.[Qing-Hai],
Chen, J.Y.[Jin-Yong],
Li, G.L.[Gui-Long],
He, Z.C.[Zhao-Cheng],
Signal timing parameters inference method at intersections using
license plate recognition data,
IET-ITS(16), No. 8, 2022, pp. 1092-1107.
DOI Link
2207
BibRef
Lee, Y.[Younkwan],
Jeon, J.[Jihyo],
Ko, Y.[Yeongmin],
Jeon, M.[Moongu],
Pedrycz, W.[Witold],
License Plate Detection via Information Maximization,
ITS(23), No. 9, September 2022, pp. 14908-14921.
IEEE DOI
2209
Licenses, Benchmark testing, Feature extraction, Detectors,
Deep learning, Annotations, Task analysis, License plate detection,
intelligent traffic surveillance
BibRef
Fan, X.D.[Xu-Dong],
Zhao, W.[Wei],
Improving Robustness of License Plates Automatic Recognition in
Natural Scenes,
ITS(23), No. 10, October 2022, pp. 18845-18854.
IEEE DOI
2210
License plate recognition, Character recognition,
Heating systems, Optical character recognition software,
convolutional neural networks
BibRef
Boby, A.[Alden],
Brown, D.[Dane],
Improving Licence Plate Detection Using Generative Adversarial Networks,
IbPRIA22(588-601).
Springer DOI
2205
BibRef
Ashrafee, A.[Alif],
Khan, A.M.[Akib Mohammed],
Irbaz, M.S.[Mohammad Sabik],
Nasim, M.A.A.[Md Abdullah Al],
Real-time Bangla License Plate Recognition System for Low Resource
Video-based Applications,
RWSurvil22(479-488)
IEEE DOI
2202
Image recognition, Conferences, Pipelines, Focusing,
Licenses, Streaming media
BibRef
Ali, S.T.A.[Syed Talha Abid],
Usama, A.H.[Abdul Hakeem],
Khan, I.R.[Ishtiaq Rasool],
Khan, M.M.[Muhammad Murtaza],
Siddiq, A.[Asif],
Mobile Registration Number Plate Recognition Using Artificial
Intelligence,
ICIP21(944-948)
IEEE DOI
2201
Training, Pressing, Licenses, Cameras, Real-time systems,
Sensor systems, Sensors, Intelligent Transportation System (ITS),
Connected Component Analysis(CCA)
BibRef
Tourani, A.[Ali],
Soroori, S.[Sajjad],
Shahbahrami, A.[Asadollah],
Akoushideh, A.[Alireza],
Iranis: A Large-scale Dataset of Iranian Vehicles License Plate
Characters,
IPRIA21(1-5)
IEEE DOI
2201
Training, Deep learning, Visualization, Surveillance, Licenses,
Cameras, dataset, Iranian license plate, deep learning, Farsi/Arabic character
BibRef
Shomee, H.H.[Homaira Huda],
Sams, A.[Ataher],
License Plate Detection and Recognition System for All Types of
Bangladeshi Vehicles Using Multi-step Deep Learning Model,
DICTA21(01-07)
IEEE DOI
2201
Deep learning, Image quality, Image segmentation,
Image recognition, Image resolution, Computational modeling, YOLO
BibRef
Moussa, D.[Denise],
Maier, A.[Anatol],
Schirrmacher, F.[Franziska],
Riess, C.[Christian],
Sequence-Based Recognition of License Plates with Severe
Out-of-Distribution Degradations,
CAIP21(II:175-185).
Springer DOI
2112
BibRef
Xu, H.[Hui],
Guo, Z.H.[Zhao-Hong],
Wang, D.H.[Da-Han],
Zhou, X.D.[Xiang-Dong],
Shi, Y.[Yu],
2D License Plate Recognition based on Automatic Perspective
Rectification,
ICPR21(202-208)
IEEE DOI
2105
Training, Text recognition, Face recognition, Licenses,
Benchmark testing, Distortion, Optical character recognition software
BibRef
Kaiser, P.[Paula],
Schirrmacher, F.[Franziska],
Lorch, B.[Benedikt],
Riess, C.[Christian],
Learning to Decipher License Plates in Severely Degraded Images,
MMForWild20(544-559).
Springer DOI
2103
BibRef
Rossi, G.[Gianmaria],
Fontani, M.[Marco],
Milani, S.[Simone],
Neural Network for Denoising and Reading Degraded License Plates,
MMForWild20(484-499).
Springer DOI
2103
BibRef
Zhang, C.,
Wang, Q.,
Li, X.,
EQ-LPR: Efficient Quality-Aware License Plate Recognition,
ICIP20(653-657)
IEEE DOI
2011
Licenses, Videos, Streaming media, Gray-scale, Feature extraction,
Image recognition, Task analysis, License Plate Recognition,
Knowledge Distillation
BibRef
Lee, Y.,
Lee, J.,
Ahn, H.,
Jeon, M.,
SNIDER: Single Noisy Image Denoising and Rectification for Improving
License Plate Recognition,
RLQ19(1017-1026)
IEEE DOI
2004
convolutional neural nets, image denoising,
learning (artificial intelligence), object recognition,
Low Quality Image Enhancement
BibRef
Tang, D.Q.[Dong-Qi],
Kong, H.[Hao],
Meng, X.[Xi],
Liu, R.Z.[Ruo-Ze],
Lu, T.[Tong],
SEE-LPR: A Semantic Segmentation Based End-to-end System for
Unconstrained License Plate Detection and Recognition,
MMMod20(I:543-554).
Springer DOI
2003
BibRef
Kim, P.[Pyong_Kun],
Lim, K.T.[Kil-Taek],
Kim, D.[Doo_Sik],
Learning Based Character Segmentation Method for Various License
Plates,
MVA19(1-6)
DOI Link
1911
character recognition, feature extraction, image segmentation,
learning (artificial intelligence), Programming.
BibRef
He, Y.,
Dong, C.,
Wei, Y.,
Combination of Appearance and License Plate Features for Vehicle
Re-Identification,
ICIP19(3108-3112)
IEEE DOI
1910
Vehicle Re-identification, Two-Branch Network,
Enhanced Triplet Loss, Bidirectional LSTM
BibRef
Gupta, M.,
Kumar, A.,
Madhvanath, S.,
Zero Shot License Plate Re-Identification,
WACV19(773-781)
IEEE DOI
1904
feature extraction, image classification, image matching,
image representation, image retrieval,
Hamming Distance
BibRef
Cao, Y.,
Fu, H.,
Ma, H.,
An End-to-End Neural Network for Multi-line License Plate Recognition,
ICPR18(3698-3703)
IEEE DOI
1812
Licenses, Feature extraction, Convolution, Character recognition,
Task analysis, Convolutional neural networks, multi-line,
end-to-end neural network
BibRef
Meng, A.,
Yang, W.,
Xu, Z.,
Huang, H.,
Huang, L.,
Ying, C.,
A robust and efficient method for license plate recognition,
ICPR18(1713-1718)
IEEE DOI
1812
character recognition, image classification, image segmentation,
neural nets, object recognition, traffic engineering computing,
Character recognition
BibRef
Xu, Z.B.[Zhen-Bo],
Yang, W.[Wei],
Meng, A.[Ajin],
Lu, N.X.[Nan-Xue],
Huang, H.[Huan],
Ying, C.C.[Chang-Chun],
Huang, L.S.[Liu-Sheng],
Towards End-to-End License Plate Detection and Recognition:
A Large Dataset and Baseline,
ECCV18(XIII: 261-277).
Springer DOI
1810
Dataset, License Plates.
BibRef
Zhuang, J.F.[Jia-Fan],
Hou, S.[Saihui],
Wang, Z.L.[Zi-Lei],
Zha, Z.J.[Zheng-Jun],
Towards Human-Level License Plate Recognition,
ECCV18(III: 314-329).
Springer DOI
1810
BibRef
Watcharapinchai, N.,
Rujikietgumjorn, S.,
Approximate license plate string matching for vehicle
re-identification,
AVSS17(1-6)
IEEE DOI
1806
image matching, image recognition, string matching, text analysis,
traffic engineering computing, GED,
Training
BibRef
Španhel, J.,
Sochor, J.,
Juránek, R.,
Herout, A.,
Maršík, L.,
Zemcík, P.,
Holistic recognition of low quality license plates by CNN using track
annotated data,
AVSS17(1-6)
IEEE DOI
1806
convolution, image annotation, image recognition, image resolution,
neural nets, traffic engineering computing, CNN,
Training
BibRef
Hsu, G.S.,
Ambikapathi, A.,
Chung, S.L.,
Su, C.P.,
Robust license plate detection in the wild,
AVSS17(1-6)
IEEE DOI
1806
image recognition, parameter estimation, protocols, AOLPE database,
YOLO-2, application-oriented license plate extended database,
Training
BibRef
Mistry, J.,
Misraa, A.K.,
Agarwal, M.,
Vyas, A.,
Chudasama, V.M.,
Upla, K.P.,
An automatic detection of helmeted and non-helmeted motorcyclist with
license plate extraction using convolutional neural network,
IPTA17(1-6)
IEEE DOI
1804
feature extraction, feedforward neural nets,
image classification, learning (artificial intelligence),
license plate extraction
BibRef
Delmar Kurpiel, F.,
Minetto, R.,
Nassu, B.T.,
Convolutional neural networks for license plate detection in images,
ICIP17(3395-3399)
IEEE DOI
1803
Cameras, Convolutional neural networks, Detectors,
Image edge detection, Licenses, Task analysis, Training,
traffic surveillance
BibRef
Fomani, B.A.,
Shahbahrami, A.,
License plate detection using adaptive morphological closing and
local adaptive thresholding,
IPRIA17(146-150)
IEEE DOI
1712
character recognition, image segmentation,
intelligent transportation systems, mathematical morphology,
morphology
BibRef
Bourja, O.,
Naggar, O.,
Bourzeix, F.,
Maach, A.,
Sharpness improvement of license plates using a fusion method,
ISCV17(1-6)
IEEE DOI
1710
character recognition,
license plate recognition (LPR), normalization,
BibRef
Lopez-Fuentes, L.[Laura],
Bagdanov, A.D.[Andrew D.],
van de Weijer, J.[Joost],
Skinnemoen, H.[Harald],
Bandwidth Limited Object Recognition in High Resolution Imagery,
WACV17(1197-1205)
IEEE DOI
1609
Automobiles, Bandwidth, Detectors, Image resolution, Licenses,
Object recognition, Proposals
BibRef
Svoboda, P.,
Hradiš, M.,
Maršík, L.,
Zemcík, P.,
CNN for license plate motion deblurring,
ICIP16(3832-3836)
IEEE DOI
1610
Cameras
BibRef
Hsu, G.S.J.,
Chiu, C.W.,
A comparison study on real-time tracking motorcycle license plates,
IVMSP16(1-5)
IEEE DOI
1608
Computed tomography
BibRef
Wang, D.,
Liu, D.,
Chen, F.,
Image semantic quality assessment for compression of car-plate images,
VCIP15(1-4)
IEEE DOI
1605
Image coding
BibRef
Baharlou, S.M.,
Hemayat, S.,
Saberkari, A.,
Yaghoobi, S.,
Fast and adaptive license plate recognition algorithm for Persian
plates,
IPRIA15(1-6)
IEEE DOI
1603
image denoising
BibRef
Weber, H.[Henrique],
Jung, C.R.[Claudio Rosito],
Low-cost license plate detection using a calibrated camera,
ICIP15(4763-4767)
IEEE DOI
1512
automatic license plate detection; camera calibration; computer vision
BibRef
Fahn, C.S.[Chin-Shyurng],
Su, B.Y.[Bo-Yuan],
Wu, M.L.[Meng-Luen],
Vision-based identification extraction for freight containers,
ICWAPR15(51-57)
IEEE DOI
1511
computer vision
From the varied labels, harder than license plates.
BibRef
Abtahi, F.[Farnaz],
Zhu, Z.G.[Zhi-Gang],
Burry, A.M.[Aaron M.],
A deep reinforcement learning approach to character segmentation of
license plate images,
MVA15(539-542)
IEEE DOI
1507
Character recognition
BibRef
Al-Audah, Y.K.,
Al-Juraifani, A.K.,
Deriche, M.A.,
A real-time license plate recognition system for Saudi Arabia using
LabVIEW,
IPTA12(160-164)
IEEE DOI
1503
automated highways
BibRef
Pawlik, A.,
High performance automatic number plate recognition in video streams,
IPTA12(68-73)
IEEE DOI
1503
object detection
BibRef
You, J.[Junyong],
Bolstad, H.C.[Hans Christian],
Perkis, A.[Andrew],
Quality of dirty: A decision making assessment methodology for
automatic license plate recognition under dirtied conditions,
ICIP14(5906-5910)
IEEE DOI
1502
Cameras
BibRef
Prates, R.C.[Raphael C.],
Cámara-Chávez, G.[Guillermo],
Schwartz, W.R.[William Robson],
Menotti, D.[David],
An Adaptive Vehicle License Plate Detection at Higher Matching Degree,
CIARP14(454-461).
Springer DOI
1411
BibRef
Chuang, C.H.[Chi-Hung],
Tsai, L.W.[Luo-Wei],
Deng, M.S.[Ming-Shan],
Hsieh, J.W.[Jun-Wei],
Fan, K.C.[Kuo-Chin],
Vehicle licence plate recognition using super-resolution technique,
AVSS14(411-416)
IEEE DOI
1411
Character recognition
BibRef
Feng, B.Y.[Bo-Yuan],
Ren, M.W.[Ming-Wu],
Zhang, X.Y.[Xu-Yao],
Liu, C.L.[Cheng-Lin],
Effective license plate detection using fast candidate region
selection and covariance feature based filtering,
AVSS14(1-6)
IEEE DOI
1411
Accuracy
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Jobin, K.V.,
Jiji, C.V.,
Anurenjan, P.R.,
Automatic number plate recognition system using modified stroke width
transform,
NCVPRIPG13(1-4)
IEEE DOI
1408
edge detection
BibRef
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feature extraction, object detection, road vehicles,
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Vehicle detection
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See also Automatic Traffic Surveillance System for Vehicle Tracking and Classification.
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Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Event Descriptions, Understanding Motion and Events .