| Vehicle License Plate Character Segmentation |
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| 作者单位： | Mei-Sen Pan~(1，*) Jun-Biao Yan~1 Zheng-Hong Xiao~(1，2) 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 |
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| 基金项目： | Scientific Research Fund of Hunan Province,PRC (No.07JJ6141);Scientific Research Fund of Hunan Provincial Education Department,PRC (No.05C720). |
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| 摘 要： | 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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| 关 键 词： | Vehicle license plate (VLP) least square method (LSM) auxiliary lines character segmentation pixel. |
| 收稿时间： | 2007-8-15 |
| 修稿时间： | 2008-3-8 |
Vehicle license plate character segmentation |
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| Authors: | Mei-Sen Pan Jun-Biao Yan Zheng-Hong Xiao |
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| Affiliation: | Department of Computer Science and Technology, Hunan University of Arts and Science, Changde 415000, PRC Department of Computer Science and Technology, Hunan University of Arts and Science, Changde 415000, PRC Department of Computer Science and Technology, Hunan University of Arts and Science, Changde 415000, PRC;School of Information Science and Engineering, Central South University, Changsha 400083, PRC |
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| 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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| Keywords: | Vehicle license plate (VLP) least square method (LSM) auxiliary lines character segmentation pixel |
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