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IEEE DOI
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IEEE DOI Siemens
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IEEE DOI
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Survey, License Plates.
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Wang, F.[Feng],
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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
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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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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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Elsevier DOI
0906
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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Elsevier DOI
1008
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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IEEE DOI
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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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License plate recognition; Template recognition; Image processing
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A Generalized DAMRF Image Modeling for Superresolution of License
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Tian, Q.,
Principal Visual Word Discovery for Automatic License Plate Detection,
IP(21), No. 9, September 2012, pp. 4269-4279.
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Du, S.,
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Automatic License Plate Recognition (ALPR): A State-of-the-Art Review,
CirSysVideo(23), No. 2, February 2013, pp. 311-325.
IEEE DOI
1301
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Badawy, W.,
Radmanesh, A.,
A real time vehicle's license plate recognition system,
AVSBS03(163-166).
IEEE DOI
0310
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Sarfraz, M.S.,
Shahzad, A.,
Elahi, M.A.[Muhammad A.],
Fraz, M.,
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Edirisinghe, E.A.,
Real-time automatic license plate recognition for CCTV forensic
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Springer DOI
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An Online Self-Learning Algorithm for License Plate Matching,
ITS(14), No. 4, 2013, pp. 1806-1816.
IEEE DOI
1312
Accuracy
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Component-Based License Plate Detection Using Conditional Random
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ITS(14), No. 4, 2013, pp. 1690-1699.
IEEE DOI
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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.
IEEE DOI
1410
character recognition
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A novel license plate location method based on wavelet transform and
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License plate location
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1503
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Computer(48), No. 8, August 2015, pp. 56-61.
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1509
computer vision
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IJCVR(6), No. 1-2, 2016, pp. 94-112.
DOI Link
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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.
IEEE DOI
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.
IEEE DOI
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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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Multiple licence plate detection for Chinese vehicles in dense
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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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Elsevier DOI
1706
License, plate, detection
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Yuan, Y.,
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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
BibRef
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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Lee, Y.H.[Young-Hyun],
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.[Mingyu],
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
colour-independent clustering and filtering techniques,
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
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],
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Meng, A.[Ajin],
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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
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Hou, S.[Saihui],
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Zha, Z.J.[Zheng-Jun],
Towards Human-Level License Plate Recognition,
ECCV18(III: 314-329).
Springer DOI
1810
BibRef
Silva, S.M.[Sérgio Montazzolli],
Jung, C.R.[Cláudio Rosito],
License Plate Detection and Recognition in Unconstrained Scenarios,
ECCV18(XII: 593-609).
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
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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)
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1605
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)
IEEE DOI
1603
image denoising
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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
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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.
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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
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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
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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],
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An Adaptive Vehicle License Plate Detection at Higher Matching Degree,
CIARP14(454-461).
Springer DOI
1411
BibRef
Chuang, C.H.[Chi-Hung],
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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],
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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
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Improved License Plate Recognition for Low-Resolution CCTV Forensics by
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IWDW13(452-462).
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1407
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WSSIP14(59-62)
1406
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License plate localization based on edge-geometrical features using
morphological approach,
ICIP13(4549-4553)
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1402
Difference of Gaussian
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Perez-Cortes, J.C.[Juan-Carlos],
License Plate Recognition Using Weighted Finite-State Transducers and
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IbPRIA13(229-236).
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1307
See also Using Field Interdependence to Improve Correction Performance in a Transducer-Based OCR Post-Processing System.
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A fast algorithm for license plate detection,
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1112
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1009
Hazardous goods markers are a standard set.
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ICPR10(376-379).
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1008
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Earlier:
Robust Car License Plate Localization Using a Novel Texture Descriptor,
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Recognition of Arabic License Plates using NN,
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0709
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0610
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Character Segmentation for License Plate Recognition by K-Means
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CIAP11(II: 444-453).
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1109
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Earlier:
Number Plate Recognition Based on Support Vector Machines,
AVSBS06(13-13).
IEEE DOI
0611
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Porikli, F.M.[Fatih M.],
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Robust License Plate Detection Using Covariance Descriptor in a Neural
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ICPR06(I: 824-827).
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0609
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Integrating Differential Evolution and Condensation Algorithms for
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ICPR06(I: 658-661).
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0609
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Gaussian Weighted Histogram Intersection for License Plate
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ICPR06(III: 574-577).
IEEE DOI
0609
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Chen, Y.N.[Ying-Nong],
Han, C.C.[Chin-Chuan],
Wang, C.T.[Cheng-Tzu],
Jeng, B.S.[Bor-Shenn],
Fan, K.C.[Kuo-Chin],
The Application of a Convolution Neural Network on Face and License
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IEEE DOI
0609
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Car Plate Detection Using Cascaded Tree-Style Learner Based on Hybrid
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AVSBS06(15-15).
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Learning-Based License Plate Detection Using Global and Local Features,
ICPR06(II: 1102-1105).
IEEE DOI
0609
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ICPR06(II: 841-844).
IEEE DOI
0609
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ICPR06(II: 324-327).
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0609
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Marzal, A.[Andrés],
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IbPRIA07(I: 282-289).
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License Plate Character Segmentation Using Hidden Markov Chains,
DAGM05(385).
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IWCIA04(646-655).
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A hybrid license plate extraction method based on edge statistics and
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ICPR04(II: 831-834).
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0409
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0409
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Kim, K.B.[Kwang-Baek],
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CAIP03(309-319).
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A robust license-plate extraction method under complex image conditions,
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IEEE DOI
0211
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Hsieh, J.W.,
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AVSS17(1-6)
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1806
feature extraction, object detection, road vehicles,
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Hsieh, J.W.[Jun-Wei],
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See also Automatic Traffic Surveillance System for Vehicle Tracking and Classification.
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A Binocular License Plate Reader for High Precision Speed Measurement,
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0209
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Emiris, D.,
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Automated Optic Recognition of Alphanumeric Content in Car License
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Coelho, C.,
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Ottaviani, E.,
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Traffic monitoring in motorways by real-time number plate recognition,
CIAP99(1128-1131).
IEEE DOI
9909
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Marukawa, K.,
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Shinjo, H.,
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Vehicle Identification System by Automated Korean License Plate Reading,
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Fernández Hermida, X.[Xulio],
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CIAP97(II: 552-559).
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Kim, S.K.[Sang Kyoon],
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A Recognition of Vehicle License Plate Using a Genetic Algorithm
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Lee, E.R.[Eun Ryung],
Kim, P.K.[Pyeoung Kee],
Kim, H.J.[Hang Joon],
Automatic recognition of a car license plate using color image
processing,
ICIP94(II: 301-305).
IEEE DOI
9411
BibRef
Dai, Y.,
Zheng, N.,
Zhang, X.,
Xuan, G.,
Automatic Recognition of Province Name on the License Plate of
Moving Vehicle,
ICPR88(II: 927-929).
IEEE DOI
BibRef
8800
Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Event Descriptions, Understanding Motion and Events .