Vehicle License Plate Character Segmentation

Mei-Sen Pan; Jun-Biao Yan; Zheng-Hong Xiao

doi:10.1007/s11633-008-0425-0

October 2008

Article Contents

Mei-Sen Pan, Jun-Biao Yan and Zheng-Hong Xiao. Vehicle License Plate Character Segmentation. International Journal of Automation and Computing, vol. 5, no. 4, pp. 425-432, 2008. doi: 10.1007/s11633-008-0425-0

Cite as: Mei-Sen Pan, Jun-Biao Yan and Zheng-Hong Xiao. Vehicle License Plate Character Segmentation. International Journal of Automation and Computing, vol. 5, no. 4, pp. 425-432, 2008. doi: 10.1007/s11633-008-0425-0

Vehicle License Plate Character Segmentation

1.
Department of Computer Science and Technology, Hunan University of Arts and Science, Changde 415000, PRC;
2.
School of Information Science and Engineering, Central South University, Changsha 400083, PRC

Received: 2007-08-15

Fund Project:

Scientific Research Fund of Hunan Province,PRC (No.07JJ6141);Scientific Research Fund of Hunan Provincial Education Department,PRC (No.05C720).

Abstract

Vehicle license plate (VLP) character segmentation is an important part of the vehicle license plate recognition system (VLPRS).This paper proposes a least square method (LSM) to treat horizontal tilt and vertical tilt in VLP images.Auxiliary lines are added into the image (or the tilt-corrected image) to make the separated parts of each Chinese character to be an interconnected region.The noise regions will be eliminated after two fusing images are merged according to the minimum principle of gray values. Then,the characters are segmented by projection method (PM) and the final character images are obtained.The experimental results show that this method features fast processing and good performance in segmentation.
- Vehicle license plate (VLP),
- least square method (LSM),
- auxiliary lines,
- character segmentation,
- pixel

References

[1]	W.J.Li,D.Q.Liang,Q.Zhang,X.Fan.A Novel Ap-proach for Vehicle License Plate Location Based on Edge-color Pair.Chinese Journal of Computers,vol.27,no.2,pp.204-208,2004.(in Chinese)
[2]	Y.G.Zhang,C.S.Zhang.Segmenting Characters of Li-cense Plate by Hough Transformation and the Prior Knowl-edge.Chinese Journal of Computers,vol.27,no.1,PP.130-135,2004.(in Chinese)
[3]	L.Chen,X.H.Huang,M.Wang,W.Li.Cluster-based Method of Characters'segmentation of License Plate.Com-puter Engineering and Applications,vol.39,no.6,pp.221-222,2002.(in Chinese)
[4]	W.Q.Yuan,C.J.Mu,D.S.Li.A Vehicle Plate Char-acter Segmentation Method Based on the Chinese Charac-ter Characteristic.Chinese Journal of Scientific Instrument,vol.24,no.4,pp.472-474,2003.(in Chinese)
[5]	W.J.Li,D.Q.Liang,X.N.Wang,D.Yu.License Plates Segmentation and Adjustment.Journal of Computer-aided Design Computer Graphics,vol.16,no.5,pp.697-700,2004.(in Chinese)
[6]	Z.G.Han,S.Y.Lao,Y.X.Xie,Y.Bao,L.Xiong.Char-acter Segmentation for Degraded License Plate.Computer Engineering and Applications,vol.40,no.9,pp.210-212,2003.(in Chinese)
[7]	L.Vincent,P.Soille.Watersheds in Digital Space:An Ef-ficient Algorithm Based on Immersion Simulations.IEEE Transactions on Pattern Analysis and Machine Intelligence,vol.13,no.6,pp.583-598,1991.
[8]	J.Barroso,E.L.Dagless,A.Rafael,J.E.Bulas-Cruz.Num-ber Plate Reading Using Computer Vision.In Proceedings of IEEE International Symposium on Industrial Electron-ics,vol.3,pp.761-766,1997.
[9]	X.Niu,L.S.Shen.Research on License Plate Recognition Technology.Measurement and Control Technology,vol.18,no.12,pp.14-17,1999.(in Chinese)
[10]	W.Li,X.H.Huang,M.Wang.Research on License Plate Segmentation in Automatic License Plate Recognition Sys-tem.Signal Processing,vol.16,no.S1,pp.41-44,2000.(in Chinese)
[11]	Y.Zhang,Y.H.Pan.Preprocessing Algorithm for Charac-ter Recognition of License Plate.Application Research of Computers,vol.16,no.7,pp.85-87,1999.(in Chinese)
[12]	D.M.Cao,G.R.Xuan.Abruption and Mergence in Char-acter Area Segmentation.Computer Engineering,vol.26,no.10,pp.18-20,2000.(in Chinese)
[13]	M.S.Pan,Q.S.Rong.Image Fusion Binarization Method Based on SOFM Neural Network.Optics and Precision En-gineering,vol.15,no.3,pp.401-406,2007.(in Chinese)
[14]	G.Pajares,J.Manuel de la Cruz.A Wavelet-based Image Fusion Tutorial.Pattern Recognition,vol.37,no.9,pp.1855-1872,2004.

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通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

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Vehicle License Plate Character Segmentation

1. Department of Computer Science and Technology, Hunan University of Arts and Science, Changde 415000, PRC;

2. School of Information Science and Engineering, Central South University, Changsha 400083, PRC

Received: 2007-08-15

Fund Project:

Scientific Research Fund of Hunan Province,PRC (No.07JJ6141);Scientific Research Fund of Hunan Provincial Education Department,PRC (No.05C720).

Key words:

Abstract: Vehicle license plate (VLP) character segmentation is an important part of the vehicle license plate recognition system (VLPRS).This paper proposes a least square method (LSM) to treat horizontal tilt and vertical tilt in VLP images.Auxiliary lines are added into the image (or the tilt-corrected image) to make the separated parts of each Chinese character to be an interconnected region.The noise regions will be eliminated after two fusing images are merged according to the minimum principle of gray values. Then,the characters are segmented by projection method (PM) and the final character images are obtained.The experimental results show that this method features fast processing and good performance in segmentation.

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Reference (14)

[1]	W.J.Li,D.Q.Liang,Q.Zhang,X.Fan.A Novel Ap-proach for Vehicle License Plate Location Based on Edge-color Pair.Chinese Journal of Computers,vol.27,no.2,pp.204-208,2004.(in Chinese)
[2]	Y.G.Zhang,C.S.Zhang.Segmenting Characters of Li-cense Plate by Hough Transformation and the Prior Knowl-edge.Chinese Journal of Computers,vol.27,no.1,PP.130-135,2004.(in Chinese)
[3]	L.Chen,X.H.Huang,M.Wang,W.Li.Cluster-based Method of Characters'segmentation of License Plate.Com-puter Engineering and Applications,vol.39,no.6,pp.221-222,2002.(in Chinese)
[4]	W.Q.Yuan,C.J.Mu,D.S.Li.A Vehicle Plate Char-acter Segmentation Method Based on the Chinese Charac-ter Characteristic.Chinese Journal of Scientific Instrument,vol.24,no.4,pp.472-474,2003.(in Chinese)
[5]	W.J.Li,D.Q.Liang,X.N.Wang,D.Yu.License Plates Segmentation and Adjustment.Journal of Computer-aided Design Computer Graphics,vol.16,no.5,pp.697-700,2004.(in Chinese)
[6]	Z.G.Han,S.Y.Lao,Y.X.Xie,Y.Bao,L.Xiong.Char-acter Segmentation for Degraded License Plate.Computer Engineering and Applications,vol.40,no.9,pp.210-212,2003.(in Chinese)
[7]	L.Vincent,P.Soille.Watersheds in Digital Space:An Ef-ficient Algorithm Based on Immersion Simulations.IEEE Transactions on Pattern Analysis and Machine Intelligence,vol.13,no.6,pp.583-598,1991.
[8]	J.Barroso,E.L.Dagless,A.Rafael,J.E.Bulas-Cruz.Num-ber Plate Reading Using Computer Vision.In Proceedings of IEEE International Symposium on Industrial Electron-ics,vol.3,pp.761-766,1997.
[9]	X.Niu,L.S.Shen.Research on License Plate Recognition Technology.Measurement and Control Technology,vol.18,no.12,pp.14-17,1999.(in Chinese)
[10]	W.Li,X.H.Huang,M.Wang.Research on License Plate Segmentation in Automatic License Plate Recognition Sys-tem.Signal Processing,vol.16,no.S1,pp.41-44,2000.(in Chinese)
[11]	Y.Zhang,Y.H.Pan.Preprocessing Algorithm for Charac-ter Recognition of License Plate.Application Research of Computers,vol.16,no.7,pp.85-87,1999.(in Chinese)
[12]	D.M.Cao,G.R.Xuan.Abruption and Mergence in Char-acter Area Segmentation.Computer Engineering,vol.26,no.10,pp.18-20,2000.(in Chinese)
[13]	M.S.Pan,Q.S.Rong.Image Fusion Binarization Method Based on SOFM Neural Network.Optics and Precision En-gineering,vol.15,no.3,pp.401-406,2007.(in Chinese)
[14]	G.Pajares,J.Manuel de la Cruz.A Wavelet-based Image Fusion Tutorial.Pattern Recognition,vol.37,no.9,pp.1855-1872,2004.

Vehicle License Plate Character Segmentation

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