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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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PR(42), No. 3, March 2009, pp. 358-369.
Elsevier DOI
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License plate recognition; Multi-style license plate; Configurable
method; Character segmentation; Character recognition
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Real-time object recognition using local features on a DSP-based
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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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Graphical Models for Joint Segmentation and Recognition of License
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SPLetters(16), No. 1, January 2009, pp. 10-13.
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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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BibRef
Castillo, E.,
Gallego, I.,
Menendez, J.M.,
Rivas, A.,
Optimal Use of Plate-Scanning Resources for Route Flow Estimation in
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ITS(12), No. 3, September 2011, pp. 830-845.
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License plate recognition software targets embedded systems,
VisSys(17), No. 1, January 2012.
HTML Version.
1201
Development of embedded systems.
See also IRIDA Labs.
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Automatic vehicle identification for Argentinean license plates using
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PRL(33), No. 9, 1 July 2012, pp. 1066-1074.
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License plate recognition; Template recognition; Image processing
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A Generalized DAMRF Image Modeling for Superresolution of License
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Principal Visual Word Discovery for Automatic License Plate Detection,
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Automatic License Plate Recognition (ALPR): A State-of-the-Art Review,
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1301
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A real time vehicle's license plate recognition system,
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Fraz, M.,
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Real-time automatic license plate recognition for CCTV forensic
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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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An Iranian License Plate Recognition System Based on Color Features,
ITS(15), No. 4, August 2014, pp. 1690-1705.
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character recognition
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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,
JVCIR(36), No. 1, 2016, pp. 172-186.
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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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Zhou, W.,
Fang, L.,
Li, H.,
Robust Blur Kernel Estimation for License Plate Images From Fast
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IP(25), No. 5, May 2016, pp. 2311-2323.
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Cameras
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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.
DOI Link
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.
Elsevier DOI
1706
License, plate, detection
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Komodakis, N.,
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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Saini, M.K.[Manish Kumar],
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Multiwavelet transform based license plate detection,
JVCIR(44), No. 1, 2017, pp. 128-138.
Elsevier DOI
1703
License plate detection
BibRef
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.
1706
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Song, T.[Taeyup],
Ku, B.[Bonhwa],
Jeon, S.S.[Seoung-Seon],
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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],
Yasmin, M.[Mussarat],
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
BibRef
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
Bhargav, R.[Rohit],
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
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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,
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Elsevier DOI
2001
LP detection, LP recognition, Deep learning, Mask R-CNN
BibRef
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Abdulla, S.,
An Efficient Texture Descriptor for the Detection of License Plates
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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],
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PRL(130), 2020, pp. 148-156.
Elsevier DOI
2002
License plate recognition, Deep neural network,
License plate location, Character segmentation, Character recognition
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Hu, X.[Xun],
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Li, X.R.[Xin-Rong],
Wang, C.[Chiyu],
MobileNet-SSD MicroScope using adaptive error correction algorithm:
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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
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IET-IPR(14), No. 7, 29 May 2020, pp. 1415-1425.
DOI Link
2005
BibRef
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Khairuddin, A.S.M.[Anis Salwa Mohd],
Paramesran, R.[Raveendran],
Connected component analysis integrated edge based technique for
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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
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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
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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
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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],
Lu, X.C.[Xin-Chen],
Wu, P.[Peicheng],
Xie, Z.W.[Zhi-Wei],
Ma, Z.[Zheng],
Xie, M.[Mei],
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],
Ye, S.T.[Shi-Ting],
Yin, J.L.[Jia-Li],
Cheng, H.Y.[Hsiang-Yin],
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],
Zhou, Y.H.[Yun-Hao],
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
Pan, X.[Xiuqin],
Li, S.[Sumin],
Li, R.X.[Rui-Xiang],
Sun, N.[Na],
A Hybrid Deep Learning Algorithm for the License Plate Detection and
Recognition in Vehicle-to-Vehicle Communications,
ITS(23), No. 12, December 2022, pp. 23447-23458.
IEEE DOI
2212
License plate recognition, Deep learning, Target recognition,
Image recognition, Sensors, Character recognition, Cameras, CRNN
BibRef
Liu, D.K.[De-Kang],
Cao, J.W.[Jiu-Wen],
Wang, T.L.[Tian-Lei],
Wu, H.H.[Hua-Hua],
Wang, J.Z.[Jian-Zhong],
Tian, J.M.[Jiang-Min],
Xu, F.Y.[Fang-Yong],
SLPR: A Deep Learning Based Chinese Ship License Plate Recognition
Framework,
ITS(23), No. 12, December 2022, pp. 23831-23843.
IEEE DOI
2212
Marine vehicles, Text recognition, License plate recognition,
Feature extraction, Deep learning, Task analysis, deep learning
BibRef
Wang, Q.[Qi],
Lu, X.C.[Xiao-Cheng],
Zhang, C.[Cong],
Yuan, Y.[Yuan],
Li, X.L.[Xue-Long],
LSV-LP: Large-Scale Video-Based License Plate Detection and
Recognition,
PAMI(45), No. 1, January 2023, pp. 752-767.
IEEE DOI
2212
Licenses, Meteorology, Feature extraction,
Convolutional neural networks, Task analysis,
license plate recognition
BibRef
Shvai, N.[Nadiya],
Hasnat, A.[Abul],
Nakib, A.[Amir],
Multiple auxiliary classifiers GAN for controllable image generation:
Application to license plate recognition,
IET-ITS(17), No. 1, 2023, pp. 243-254.
DOI Link
2301
BibRef
Zhou, X.[Xin],
Cheng, Y.[Yao],
Jiang, L.[Liling],
Ning, B.[Bo],
Wang, Y.[Yanhao],
FAFEnet: A fast and accurate model for automatic license plate
detection and recognition,
IET-IPR(17), No. 3, 2023, pp. 807-818.
DOI Link
2303
BibRef
Wu, H.H.[Hua-Hua],
Chen, J.G.[Jia-Gui],
Wang, T.L.[Tian-Lei],
Lai, X.P.[Xiao-Ping],
Cao, J.W.[Jiu-Wen],
Ship License Plate Super-Resolution in the Wild,
SPLetters(30), 2023, pp. 394-398.
IEEE DOI
2305
Feature extraction, Generators, Degradation, Marine vehicles,
Convolution, Training, Signal processing algorithms, gradient loss
BibRef
Gao, Y.L.[Yi-Lin],
Lu, H.J.[Heng-Jie],
Mu, S.Y.[Shi-Yi],
Xu, S.G.[Shu-Gong],
GroupPlate: Toward Multi-Category License Plate Recognition,
ITS(24), No. 5, May 2023, pp. 5586-5599.
IEEE DOI
2305
License plate recognition, Feature extraction, Licenses,
Character recognition, Annotations, Text recognition,
license plate dataset
BibRef
Jiang, Y.[Yu],
Jiang, F.[Feng],
Luo, H.Y.[Hui-Yin],
Lin, H.Y.[Hong-Yu],
Yao, J.[Jian],
Liu, J.X.[Jia-Xin],
Ren, J.[Jia],
An Efficient and Unified Recognition Method for Multiple License
Plates in Unconstrained Scenarios,
ITS(24), No. 5, May 2023, pp. 5376-5389.
IEEE DOI
2305
License plate recognition, Character recognition,
Feature extraction, Image segmentation, Licenses,
license plate detection and recognition
BibRef
Ke, X.[Xiao],
Zeng, G.[Ganxiong],
Guo, W.Z.[Wen-Zhong],
An Ultra-Fast Automatic License Plate Recognition Approach for
Unconstrained Scenarios,
ITS(24), No. 5, May 2023, pp. 5172-5185.
IEEE DOI
2305
License plate recognition, Image recognition, Feature extraction,
Object detection, Licenses, Character recognition, Task analysis,
data augmentation
BibRef
Pan, S.[Sen],
Chen, S.B.[Si-Bao],
Luo, B.[Bin],
A super-resolution-based license plate recognition method for remote
surveillance,
JVCIR(94), 2023, pp. 103844.
Elsevier DOI
2306
License plate recognition, Super-resolution,
Remote surveillance, Neural network, Deep learning
BibRef
Ding, H.X.[Hao-Xuan],
Gao, J.Y.[Jun-Yu],
Yuan, Y.[Yuan],
Wang, Q.[Qi],
Boosting One-Stage License Plate Detector via Self-Constrained
Contrastive Aggregation,
CirSysVideo(33), No. 8, August 2023, pp. 4204-4216.
IEEE DOI
2308
Feature extraction, Detectors, Training, Supervised learning,
License plate recognition, Task analysis, Aggregates,
feature aggregation
BibRef
Schirrmacher, F.[Franziska],
Lorch, B.[Benedikt],
Maier, A.[Anatol],
Riess, C.[Christian],
Benchmarking Probabilistic Deep Learning Methods for License Plate
Recognition,
ITS(24), No. 9, September 2023, pp. 9203-9216.
IEEE DOI
2310
BibRef
Li, C.L.[Cheng-Long],
Yang, X.B.[Xia-Bin],
Wang, G.H.[Guo-Hao],
Zheng, A.[Aihua],
Tan, C.[Chang],
Tang, J.[Jin],
Disentangled generation network for enlarged license plate
recognition and a unified dataset,
CVIU(238), 2024, pp. 103880.
Elsevier DOI
2312
Text recognition, Enlarged license plate,
Disentangled generation, Generative adversarial network, Benchmark dataset
BibRef
Kim, D.[Dogun],
Kim, J.[Jin],
Park, E.[Eunil],
AFA-Net: Adaptive Feature Attention Network in image deblurring and
super-resolution for improving license plate recognition,
CVIU(238), 2024, pp. 103879.
Elsevier DOI
2312
Super resolution, Image deblurring, License plate recognition
BibRef
Ding, H.X.[Hao-Xuan],
Gao, J.Y.[Jun-Yu],
Yuan, Y.[Yuan],
Wang, Q.[Qi],
An End-to-End Contrastive License Plate Detector,
ITS(25), No. 1, January 2024, pp. 503-516.
IEEE DOI
2402
Detectors, Feature extraction, Task analysis,
License plate recognition, Visualization, Object detection,
feature aggregation
BibRef
Xu, F.[Fan],
Chen, C.[Chuibin],
Shang, Z.[Zhigao],
Peng, Y.Q.[Yu-Qing],
Li, X.B.[Xin-Bao],
A CRNN-based method for Chinese ship license plate recognition,
IET-IPR(18), No. 2, 2024, pp. 298-311.
DOI Link
2402
character recognition, image enhancement, learning (artificial intelligence)
BibRef
Zhu, S.[Shuo],
Wang, Y.[Yu],
Wang, Z.[Zongyang],
A lightweight license plate detection algorithm based on deep
learning,
IET-IPR(18), No. 2, 2024, pp. 403-411.
DOI Link
2402
image processing, neural nets, pattern recognition
BibRef
Zhou, C.[Chunyi],
Liu, D.K.[De-Kang],
Wang, T.L.[Tian-Lei],
Tian, J.M.[Jiang-Min],
Cao, J.W.[Jiu-Wen],
M3ANet: Multi-Modal and Multi-Attention Fusion Network for Ship
License Plate Recognition,
MultMed(26), 2024, pp. 5976-5986.
IEEE DOI
2404
Marine vehicles, Text recognition, Visualization,
License plate recognition, Feature extraction, Semantics, Decoding,
multi-modal and multi-attention fusion network (M_3 ANet)
BibRef
Li, A.[Ang],
Lam, W.H.K.[William H. K.],
Ma, W.[Wei],
Chow, A.H.F.[Andy H. F.],
Wong, S.C.[Sze-Chun],
Tam, M.L.[Mei Lam],
Filtering Limited Automatic Vehicle Identification Data for Real-Time
Path Travel Time Estimation Without Ground Truth,
ITS(25), No. 6, June 2024, pp. 4849-4861.
IEEE DOI
2406
Real-time systems, Estimation, Filtering, Filtering algorithms,
Urban areas, Training, Data filtering,
advanced traveler information systems
BibRef
Liu, Q.[Qi],
Chen, S.L.[Song-Lu],
Chen, Y.X.[Yu-Xiang],
Yin, X.C.[Xu-Cheng],
Improving license plate recognition via diverse stylistic plate
generation,
PRL(183), 2024, pp. 117-124.
Elsevier DOI
2406
License plate generation, Diverse style generation, License plate recognition
BibRef
Ding, H.X.[Hao-Xuan],
Gao, J.Y.[Jun-Yu],
Yuan, Y.[Yuan],
Wang, Q.[Qi],
FF-LPD: A Real-Time Frame-by-Frame License Plate Detector With
Knowledge Distillation and Feature Propagation,
IP(33), 2024, pp. 3893-3906.
IEEE DOI
2407
Feature extraction, Real-time systems, Detectors, Streaming media,
Accuracy, Iron, Training, Automatic license plate detection,
spatial-temporal attention
BibRef
He, C.G.[Chun-Guang],
Wang, D.H.[Dian-Hai],
Cai, Z.Y.[Zheng-Yi],
Zeng, J.Q.[Jia-Qi],
Fu, F.J.[Feng-Jie],
A Vehicle Matching Algorithm by Maximizing Travel Time Probability
Based on Automatic License Plate Recognition Data,
ITS(25), No. 8, August 2024, pp. 9103-9114.
IEEE DOI
2408
License plate recognition, Roads, Estimation, Probability, Detectors,
Traffic control, Data models, Vehicle reidentification,
travel time probability
BibRef
Gao, Y.L.[Yi-Lin],
Mu, S.Y.[Shi-Yi],
Xu, S.G.[Shu-Gong],
Toward Unified End-to-End License Plate Detection and Recognition for
Variable Resolution Requirements,
ITS(25), No. 9, September 2024, pp. 10689-10701.
IEEE DOI
2409
License plate recognition, Detectors, Image recognition,
Feature extraction, Crops, Head, Text recognition, End-to-end
BibRef
Liu, Q.[Qi],
Liu, Y.[Yan],
Chen, S.L.[Song-Lu],
Zhang, T.H.[Tian-Hao],
Chen, F.[Feng],
Yin, X.C.[Xu-Cheng],
Improving Multi-Type License Plate Recognition via Learning Globally
and Contrastively,
ITS(25), No. 9, September 2024, pp. 11092-11102.
IEEE DOI
2409
License plate recognition, Feature extraction, Layout,
Character recognition, Visualization, Self-supervised learning,
attention mechanism
BibRef
Yang, S.Y.[Sheng-Ying],
Zhang, Z.H.[Zhi-Hao],
Shi, W.B.[Wen-Bin],
Feng, B.Y.[Bo-Yang],
Hua, Y.Z.[Yong-Zhu],
Lei, J.S.[Jing-Sheng],
SvRetina-LPD: A Sliding Vertex-Based RetinaNet for Robust
Multi-Oriented License Plate Detection,
ITS(25), No. 11, November 2024, pp. 16421-16434.
IEEE DOI
2411
License plate recognition, Feature extraction, Accuracy, Licenses,
Lighting, Training, Prediction algorithms, License plate detection,
anchor-based method
BibRef
Peng, Z.X.[Zhong-Xing],
Gao, Y.L.[Yi-Lin],
Mu, S.Y.[Shi-Yi],
Xu, S.G.[Shu-Gong],
Toward Reliable License Plate Detection in Varied Contexts:
Overcoming the Issue of Undersized Plate Annotations,
ITS(25), No. 11, November 2024, pp. 18107-18121.
IEEE DOI
2411
License plate recognition, Detectors, Annotations, Task analysis,
Feature extraction, Robustness, Head, License plate detection,
semi-supervised learning
BibRef
Wei, C.[Chao],
Han, F.[Fei],
Fan, Z.Z.[Zi-Zhu],
Shi, L.[Linrui],
Peng, C.[Cheng],
Efficient license plate recognition in unconstrained scenarios,
JVCIR(104), 2024, pp. 104314.
Elsevier DOI Code:
WWW Link.
2411
License plate detection, License plate recognition,
Efficient detection, Deep learning
BibRef
Hua, L.[Liru],
Ma, X.[Xinyi],
Zhao, C.[Chihang],
Zhang, B.L.[Bai-Ling],
Su, Z.J.[Zi-Jun],
Wu, Y.H.[Yu-Hang],
Recognition of vehicle license plates in highway scenes with deep
fusion network and connectionist temporal classification,
IET-IPR(18), No. 13, 2024, pp. 4066-4080.
DOI Link
2411
image classification, image recognition, neural nets, pattern recognition
BibRef
Garcia-Bordils, S.[Sergi],
Karatzas, D.[Dimosthenis],
Rusiñol, M.[Marçal],
STEP - Towards Structured Scene-Text Spotting,
WACV24(872-881)
IEEE DOI Code:
WWW Link.
2404
Training, Codes, Task analysis, License plate recognition,
Algorithms, Image recognition and understanding, Algorithms,
and algorithms
BibRef
Laroca, R.[Rayson],
Zanlorensi, L.A.[Luiz A.],
Estevam, V.[Valter],
Minetto, R.[Rodrigo],
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2312
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ICIP23(3329-3333)
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PSA-YOLO: License Plate Detection Method Based on Pyramid
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ICIVC22(238-243)
IEEE DOI
2301
Head, Fuses, Superresolution, Object detection, Interference, Licenses,
Transformers, license plate, PSA, detection, YOLO, attention
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DPAM: A New Deep Parallel Attention Model for Multiple License Plate
Number Recognition,
ICPR22(1485-1491)
IEEE DOI
2212
Image recognition, Correlation, Shape, Semantics,
Parallel processing, Feature extraction, Real-time systems,
License plate recognition
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Zhang, Y.[Yin],
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PSND: A Robust Parking Space Number Detector,
ICPR22(1742-1748)
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2212
Text recognition, Detectors, Benchmark testing, Feature extraction,
Real-time systems, Standards, License plate recognition,
Autonomous Driving
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Moussa, D.[Denise],
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Forensic License Plate Recognition with Compression-Informed
Transformers,
ICIP22(406-410)
IEEE DOI
2211
Degradation, Image coding, Image recognition, Forensics,
Surveillance, Transformers, Cameras, License Plate Recognition, Image Forensics
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2205
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Real-time Bangla License Plate Recognition System for Low Resource
Video-based Applications,
RWSurvil22(479-488)
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2202
Image recognition, Conferences, Pipelines, Focusing,
Licenses, Streaming media
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Ali, S.T.A.[Syed Talha Abid],
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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)
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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
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Shomee, H.H.[Homaira Huda],
Sams, A.[Ataher],
License Plate Detection and Recognition System for All Types of
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DICTA21(01-07)
IEEE DOI
2201
Deep learning, Image quality, Image segmentation,
Image recognition, Image resolution, Computational modeling, YOLO
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Moussa, D.[Denise],
Maier, A.[Anatol],
Schirrmacher, F.[Franziska],
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Sequence-Based Recognition of License Plates with Severe
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CAIP21(II:175-185).
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2112
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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
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Kaiser, P.[Paula],
Schirrmacher, F.[Franziska],
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Learning to Decipher License Plates in Severely Degraded Images,
MMForWild20(544-559).
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2103
BibRef
Rossi, G.[Gianmaria],
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Milani, S.[Simone],
Neural Network for Denoising and Reading Degraded License Plates,
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2103
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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
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Lee, Y.,
Lee, J.,
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Jeon, M.,
SNIDER: Single Noisy Image Denoising and Rectification for Improving
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RLQ19(1017-1026)
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2004
convolutional neural nets, image denoising,
learning (artificial intelligence), object recognition,
Low Quality Image Enhancement
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Tang, D.Q.[Dong-Qi],
Kong, H.[Hao],
Meng, X.[Xi],
Liu, R.Z.[Ruo-Ze],
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SEE-LPR: A Semantic Segmentation Based End-to-end System for
Unconstrained License Plate Detection and Recognition,
MMMod20(I:543-554).
Springer DOI
2003
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Kim, P.[Pyong_Kun],
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Kim, D.[Doo_Sik],
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MVA19(1-6)
DOI Link
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character recognition, feature extraction, image segmentation,
learning (artificial intelligence), Programming.
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He, Y.,
Dong, C.,
Wei, Y.,
Combination of Appearance and License Plate Features for Vehicle
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ICIP19(3108-3112)
IEEE DOI
1910
Vehicle Re-identification, Two-Branch Network,
Enhanced Triplet Loss, Bidirectional LSTM
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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
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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
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Meng, A.,
Yang, W.,
Xu, Z.,
Huang, H.,
Huang, L.,
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ICPR18(1713-1718)
IEEE DOI
1812
character recognition, image classification, image segmentation,
neural nets, object recognition, traffic engineering computing,
Character recognition
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ECCV18(XIII: 261-277).
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1810
Dataset, License Plates.
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1810
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Approximate license plate string matching for vehicle
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AVSS17(1-6)
IEEE DOI
1806
image matching, image recognition, string matching, text analysis,
traffic engineering computing, GED,
Training
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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
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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
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Delmar Kurpiel, F.,
Minetto, R.,
Nassu, B.T.,
Convolutional neural networks for license plate detection in images,
ICIP17(3395-3399)
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1803
Cameras, Convolutional neural networks, Detectors,
Image edge detection, Licenses, Task analysis, Training,
traffic surveillance
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Fomani, B.A.,
Shahbahrami, A.,
License plate detection using adaptive morphological closing and
local adaptive thresholding,
IPRIA17(146-150)
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1712
character recognition, image segmentation,
intelligent transportation systems, mathematical morphology,
morphology
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Bourja, O.,
Naggar, O.,
Bourzeix, F.,
Maach, A.,
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ISCV17(1-6)
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1710
character recognition,
license plate recognition (LPR), normalization,
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Bandwidth Limited Object Recognition in High Resolution Imagery,
WACV17(1197-1205)
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1609
Automobiles, Bandwidth, Detectors, Image resolution, Licenses,
Object recognition, Proposals
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Maršík, L.,
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CNN for license plate motion deblurring,
ICIP16(3832-3836)
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1610
Cameras
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Hsu, G.S.J.,
Chiu, C.W.,
A comparison study on real-time tracking motorcycle license plates,
IVMSP16(1-5)
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1608
Computed tomography
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Wang, D.,
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Image semantic quality assessment for compression of car-plate images,
VCIP15(1-4)
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Image coding
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Baharlou, S.M.,
Hemayat, S.,
Saberkari, A.,
Yaghoobi, S.,
Fast and adaptive license plate recognition algorithm for Persian
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IPRIA15(1-6)
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image denoising
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ICIP15(4763-4767)
IEEE DOI
1512
automatic license plate detection; camera calibration; computer vision
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Fahn, C.S.[Chin-Shyurng],
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Vision-based identification extraction for freight containers,
ICWAPR15(51-57)
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1511
computer vision
From the varied labels, harder than license plates.
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A deep reinforcement learning approach to character segmentation of
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MVA15(539-542)
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1507
Character recognition
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A real-time license plate recognition system for Saudi Arabia using
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IPTA12(160-164)
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1503
automated highways
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1503
object detection
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Cameras
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AVSS14(411-416)
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Character recognition
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Feng, B.Y.[Bo-Yuan],
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edge detection
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feature extraction, object detection, road vehicles,
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See also Automatic Traffic Surveillance System for Vehicle Tracking and Classification.
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