Volume 5 Number 4
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

  • 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).

通讯作者: 陈斌, bchen63@163.com
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    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

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.

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
Citation: 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
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