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IEEE DOI Siemens
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Survey, License Plates.
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Elsevier DOI
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Color recognition; Fuzzy logic; HSV color space;
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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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Springer DOI
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Real-Time License Plate Recognition on an Embedded DSP-Platform,
EmbedCV07(1-8).
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
Fan, X.[Xin],
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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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1003
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Operator Context Scanning algorithm; Sliding windows analysis; License
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BibRef
Castillo, E.,
Gallego, I.,
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
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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0310
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Fraz, M.,
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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,
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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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1604
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],
Hussain, S.[Sajid],
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IET-ITS(10), No. 8, 2016, pp. 535-544.
DOI Link
1610
image colour analysis
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Asif, M.R.[Muhammad Rizwan],
Chun, Q.[Qi],
Hussain, S.[Sajid],
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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],
Saini, S.[Sumit],
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],
Han, D.K.,
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
1911
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.[Shilian],
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
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LP detection, LP recognition, Deep learning, Mask R-CNN
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Feature extraction, Training, Licenses, Image color analysis,
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License plate recognition, Deep neural network,
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Licenses, Feature extraction, Vehicle detection, Neural networks,
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Convolutional neural networks, License plate, Deep learning
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Enhancement, License plate detection, Fractional calculus,
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2107
Discrete cosine transform, Phase congruency,
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Licenses, Videos, Streaming media, Gray-scale, Feature extraction,
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2004
convolutional neural nets, image denoising,
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Vehicle Re-identification, Two-Branch Network,
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WACV19(773-781)
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feature extraction, image classification, image matching,
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Ma, H.,
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Licenses, Feature extraction, Convolution, Character recognition,
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ICPR18(1713-1718)
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1812
character recognition, image classification, image segmentation,
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convolution, image annotation, image recognition, image resolution,
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image recognition, parameter estimation, protocols, AOLPE database,
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feature extraction, feedforward neural nets,
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character recognition, image segmentation,
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character recognition,
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WACV17(1197-1205)
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1609
Automobiles, Bandwidth, Detectors, Image resolution, Licenses,
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Cameras
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A comparison study on real-time tracking motorcycle license plates,
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Computed tomography
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Image coding
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image denoising
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automatic license plate detection; camera calibration; computer vision
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computer vision
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Character recognition
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automated highways
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Character recognition
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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 .