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BibRef
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IEEE DOI
9704
BibRef
Earlier:
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ICIP97(III: 126-129).
IEEE DOI Siemens
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MVA(17), No. 3, August 2006, pp. 173-183.
Springer DOI
0606
BibRef
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ICPR04(IV: 352-355).
IEEE DOI
0409
BibRef
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IEEE DOI
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License Plate Recognition From Still Images and Video Sequences:
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ITS(9), No. 3, September 2008, pp. 377-391.
IEEE DOI
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Survey, License Plates.
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Alexandropoulos, T.,
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Kayafas, E.,
Real-time change detection for surveillance in public transportation,
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ITS(8), No. 2, April 2007, pp. 321-331.
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0706
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Earlier: A1, A3, Only:
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Springer DOI
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Wang, F.[Feng],
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Xiao, Y.J.[Yi-Jun],
Pan, W.[Wei],
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Fuzzy-based algorithm for color recognition of license plates,
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Elsevier DOI
0804
Color recognition; Fuzzy logic; HSV color space;
License plate recognition (LPR)
BibRef
Jiao, J.B.[Jian-Bin],
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A configurable method for multi-style license plate recognition,
PR(42), No. 3, March 2009, pp. 358-369.
Elsevier DOI
0811
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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RealTimeIP(3), No. 4, December 2008, pp. xx-yy.
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Detecting, Tracking and Recognizing License Plates,
ACCV07(II: 447-456).
Springer DOI
0711
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Limberger, F.[Florian],
Bischof, H.[Horst],
Real-Time License Plate Recognition on an Embedded DSP-Platform,
EmbedCV07(1-8).
IEEE DOI
0706
BibRef
Fan, X.[Xin],
Fan, G.L.[Guo-Liang],
Graphical Models for Joint Segmentation and Recognition of License
Plate Characters,
SPLetters(16), No. 1, January 2009, pp. 10-13.
IEEE DOI
0901
BibRef
Fan, X.[Xin],
Fan, G.L.[Guo-Liang],
Liang, D.Q.[De-Qun],
Joint Segmentation and Recognition of License Plate Characters,
ICIP07(IV: 353-356).
IEEE DOI
0709
BibRef
Wu, B.F.,
Lin, S.P.,
Chiu, C.C.,
Extracting characters from real vehicle licence plates out-of-doors,
IET-CV(1), No. 1, March 2007, pp. 2-10.
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An edge-based color-aided method for license plate detection,
IVC(27), No. 8, 2 July 2009, pp. 1134-1142.
Elsevier DOI
0906
License plate recognition; Edge analysis; Morphological processing;
Color analysis
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Al-Hmouz, R.[Rami],
Challa, S.[Subhash],
License plate localization based on a probabilistic model,
MVA(21), No. 3, April 2010, pp. xx-yy.
Springer DOI
1003
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Giannoukos, I.[Ioannis],
Anagnostopoulos, C.N.E.[Christos-Nikolaos E.],
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Kayafas, E.[Eleftherios],
Operator context scanning to support high segmentation rates for real
time license plate recognition,
PR(43), No. 11, November 2010, pp. 3866-3878.
Elsevier DOI
1008
Operator Context Scanning algorithm; Sliding windows analysis; License
Plate Recognition; High resolution image processing
BibRef
Castillo, E.,
Gallego, I.,
Menendez, J.M.,
Rivas, A.,
Optimal Use of Plate-Scanning Resources for Route Flow Estimation in
Traffic Networks,
ITS(11), No. 2, June 2010, pp. 380-391.
IEEE DOI
1007
BibRef
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A cognitive and video-based approach for multinational License Plate
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1103
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An Algorithm for License Plate Recognition Applied to Intelligent
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ITS(12), No. 3, September 2011, pp. 830-845.
IEEE DOI
1109
BibRef
License plate recognition software targets embedded systems,
VisSys(17), No. 1, January 2012.
HTML Version.
1201
Development of embedded systems.
See also IRIDA Labs.
BibRef
Gazcón, N.F.[Nicolás Fernando],
Chesñevar, C.I.[Carlos Iván],
Castro, S.M.[Silvia Mabel],
Automatic vehicle identification for Argentinean license plates using
intelligent template matching,
PRL(33), No. 9, 1 July 2012, pp. 1066-1074.
Elsevier DOI
1202
License plate recognition; Template recognition; Image processing
BibRef
Zeng, W.[Weili],
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A Generalized DAMRF Image Modeling for Superresolution of License
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ITS(13), No. 2, June 2012, pp. 828-837.
IEEE DOI
1206
BibRef
Zhou, W.,
Li, H.,
Lu, Y.,
Tian, Q.,
Principal Visual Word Discovery for Automatic License Plate Detection,
IP(21), No. 9, September 2012, pp. 4269-4279.
IEEE DOI
1208
BibRef
Du, S.,
Ibrahim, M.,
Shehata, M.,
Badawy, W.,
Automatic License Plate Recognition (ALPR): A State-of-the-Art Review,
CirSysVideo(23), No. 2, February 2013, pp. 311-325.
IEEE DOI
1301
BibRef
Rahman, C.A.,
Badawy, W.,
Radmanesh, A.,
A real time vehicle's license plate recognition system,
AVSBS03(163-166).
IEEE DOI
0310
BibRef
Sarfraz, M.S.,
Shahzad, A.,
Elahi, M.A.[Muhammad A.],
Fraz, M.,
Zafar, I.,
Edirisinghe, E.A.,
Real-time automatic license plate recognition for CCTV forensic
applications,
RealTimeIP(8), No. 3, September 2013, pp. 285-295.
Springer DOI
1309
BibRef
Oliveira-Neto, F.M.,
Han, L.D.,
Jeong, M.K.,
An Online Self-Learning Algorithm for License Plate Matching,
ITS(14), No. 4, 2013, pp. 1806-1816.
IEEE DOI
1312
Accuracy
BibRef
Li, B.,
Tian, B.,
Li, Y.,
Wen, D.,
Component-Based License Plate Detection Using Conditional Random
Field Model,
ITS(14), No. 4, 2013, pp. 1690-1699.
IEEE DOI
1312
Computer vision
BibRef
Ashtari, A.H.,
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Fathy, M.,
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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Yu, S.Y.[Shou-Yuan],
Li, B.[Baopu],
Zhang, Q.[Qi],
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Meng, M.Q.H.[Max Q.H.],
A novel license plate location method based on wavelet transform and
EMD analysis,
PR(48), No. 1, 2015, pp. 114-125.
Elsevier DOI
1410
License plate location
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Improved number plate character segmentation algorithm and its
efficient FPGA implementation,
RealTimeIP(10), No. 1, March 2015, pp. 91-103.
WWW Link.
1503
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Som, T.,
Kar, S.,
An Automated Vehicle License Plate Recognition System,
Computer(48), No. 8, August 2015, pp. 56-61.
IEEE DOI
1509
computer vision
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Singh, D.[Dalwinder],
Singh, G.[Gurwinder],
Automatic number plate recognition system by character position method,
IJCVR(6), No. 1-2, 2016, pp. 94-112.
DOI Link
1601
BibRef
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Som, T.[Tanmoy],
Kar, S.[Soumitra],
Using Radon Transform to Recognize Skewed Images of Vehicular License
Plates,
Computer(49), No. 1, January 2016, pp. 59-65.
IEEE DOI
1601
Algorithm design and analysis
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Islam, M.M.[M. Monirul],
Automatic license plate detection in hazardous condition,
JVCIR(36), No. 1, 2016, pp. 172-186.
Elsevier DOI
1603
Automatic license plate detection
BibRef
Gou, C.,
Wang, K.,
Yao, Y.,
Li, Z.,
Vehicle License Plate Recognition Based on Extremal Regions and
Restricted Boltzmann Machines,
ITS(17), No. 4, April 2016, pp. 1096-1107.
IEEE DOI
1604
Character recognition
BibRef
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Zhou, W.,
Fang, L.,
Li, H.,
Robust Blur Kernel Estimation for License Plate Images From Fast
Moving Vehicles,
IP(25), No. 5, May 2016, pp. 2311-2323.
IEEE DOI
1604
Cameras
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Efficient method for vehicle license plate identification based on
learning a morphological feature,
IET-ITS(10), No. 6, 2016, pp. 389-395.
DOI Link
1608
feature extraction
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Asif, M.R.[Muhammad Rizwan],
Chun, Q.[Qi],
Hussain, S.[Sajid],
Fareed, M.S.[Muhammad Sadiq],
Multiple licence plate detection for Chinese vehicles in dense
traffic scenarios,
IET-ITS(10), No. 8, 2016, pp. 535-544.
DOI Link
1610
image colour analysis
BibRef
Asif, M.R.[Muhammad Rizwan],
Chun, Q.[Qi],
Hussain, S.[Sajid],
Fareed, M.S.[Muhammad Sadiq],
Khan, S.[Subhan],
Multinational vehicle license plate detection in complex backgrounds,
JVCIR(46), No. 1, 2017, pp. 176-186.
Elsevier DOI
1706
License, plate, detection
BibRef
Yuan, Y.,
Zou, W.,
Zhao, Y.,
Wang, X.,
Hu, X.,
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
BibRef
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
Binarization Based on Superpixels under Illumination Change,
IEICE(E100-D), No. 6, June 2017, pp. 1384-1387.
WWW Link.
1706
BibRef
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
selection approach with SVM,
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
BibRef
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
Cao, Y.,
Fu, H.,
Ma, H.,
An End-to-End Neural Network for Multi-line License Plate Recognition,
ICPR18(3698-3703)
IEEE DOI
1812
Licenses, Feature extraction, Convolution, Character recognition,
Task analysis, Convolutional neural networks, multi-line,
end-to-end neural network
BibRef
Meng, A.,
Yang, W.,
Xu, Z.,
Huang, H.,
Huang, L.,
Ying, C.,
A robust and efficient method for license plate recognition,
ICPR18(1713-1718)
IEEE DOI
1812
character recognition, image classification, image segmentation,
neural nets, object recognition, traffic engineering computing,
Character recognition
BibRef
Xu, Z.B.[Zhen-Bo],
Yang, W.[Wei],
Meng, A.[Ajin],
Lu, N.[Nanxue],
Huang, H.[Huan],
Ying, C.C.[Chang-Chun],
Huang, L.S.[Liu-Sheng],
Towards End-to-End License Plate Detection and Recognition:
A Large Dataset and Baseline,
ECCV18(XIII: 261-277).
Springer DOI
1810
Dataset, License Plates.
BibRef
Zhuang, J.[Jiafan],
Hou, S.[Saihui],
Wang, Z.[Zilei],
Zha, Z.J.[Zheng-Jun],
Towards Human-Level License Plate Recognition,
ECCV18(III: 314-329).
Springer DOI
1810
BibRef
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ECCV18(XII: 593-609).
Springer DOI
1810
BibRef
Watcharapinchai, N.,
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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.,
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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,
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Mistry, J.,
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IPTA17(1-6)
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1804
feature extraction, feedforward neural nets,
image classification, learning (artificial intelligence),
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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.,
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IPRIA17(146-150)
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1712
character recognition, image segmentation,
intelligent transportation systems, mathematical morphology,
morphology
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Bourja, O.,
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Maach, A.,
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ISCV17(1-6)
IEEE DOI
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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ICIP16(3832-3836)
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1610
Cameras
BibRef
Hsu, G.S.J.,
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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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1605
Image coding
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Baharlou, S.M.,
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Yaghoobi, S.,
Fast and adaptive license plate recognition algorithm for Persian
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IPRIA15(1-6)
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1603
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],
Su, B.Y.[Bo-Yuan],
Wu, M.L.[Meng-Luen],
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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Abtahi, F.[Farnaz],
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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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Al-Audah, Y.K.,
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A real-time license plate recognition system for Saudi Arabia using
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IPTA12(160-164)
IEEE DOI
1503
automated highways
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Pawlik, A.,
High performance automatic number plate recognition in video streams,
IPTA12(68-73)
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1503
object detection
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automatic license plate recognition under dirtied conditions,
ICIP14(5906-5910)
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1502
Cameras
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1411
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AVSS14(411-416)
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1411
Character recognition
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AVSS14(1-6)
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1411
Accuracy
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Automatic number plate recognition system using modified stroke width
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NCVPRIPG13(1-4)
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edge detection
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1407
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Earlier:
Number Plate Recognition Based on Support Vector Machines,
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feature extraction, object detection, road vehicles,
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Automated Optic Recognition of Alphanumeric Content in Car License
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Automatic Recognition of Province Name on the License Plate of
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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 .