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Volume 30 Issue 03
Mar.  2004
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Journal of Beijing University of Aeronautics and Astronautics  > 2004  >  30(03): 240-243.
Cao Xiaoguang, Zhu Fengyun. New location algorithm of car license plate using cross-correlation vector map[J]. Journal of Beijing University of Aeronautics and Astronautics, 2004, 30(03): 240-243. (in Chinese)
Citation: Cao Xiaoguang, Zhu Fengyun. New location algorithm of car license plate using cross-correlation vector map[J]. Journal of Beijing University of Aeronautics and Astronautics, 2004, 30(03): 240-243. (in Chinese)
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New location algorithm of car license plate using cross-correlation vector map

  • School of Astronautics, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

  • Received Date: 05 Nov 2002
  • Publish Date: 31 Mar 2004
    Abstract
  • Vector map is a kind of computer graphics formed by matrix of vectors. These vectors are results of cross-correlation of two related particle images.This technique is called PIV(particle image velocimetry). A new algorithm for extraction of car license plate is introduced, which is called VMLA(vector map location algorithm). The idea of VMLA is inspired by the method to get the cross-correlation vector map of PIV. It based on thefact that the two edges of strokes of license plate characters and numbers cause a special local structural pattern in the cross-correlation vector map. Using this idea, the correct position of a plate could be extracted from vector maps of license plate images with complicated backgrounds. VMLA is adaptive to various license plate sizes and it also runs in real-time. Testing results on 540 license plate images show that the method is valid and efficient.

     

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  • [1] 赵雪春,戚飞虎. 基于彩色分割的车辆牌照自动识别技术[J]. 上海交通大学学报,1998,32(10):4~9 Zhao Xuechun, Qi Feihu. Automatic recognition of vehicle license based on color segmentation[J]. Journal of Shanghai Jiaotong University, 1998, 32(10):4~9(in Chinese) [2] 张 炜,王 庆,赵荣椿. 汽车牌照的实时分割方法[J]. 西北工业大学学报,2001,19(1):35~37 Zhang Wei, Wang Qing, Zhao Rongchun. Real-time segmentation of vehicle license plate[J]. Journal of Northwestern Polytechnical University, 2001, 19(1):35~37(in Chinese) [3] Westerweel J. Fundamentals of digital particle image velocimetry[J]. Measurement Science and Technology, 1997, 8(8):1379~1392 [4]Cao Xiaoguang, Shen Gongxin. Pyramid algorithm method for the cross-correlation PIV . In:Carlomagno G M, Grant I. Proceedings of 9th International Symposium on Flow Visualizatoin . Edinburgh:Scotland, 2000. 9ISFV Paper 24f1, 1~7 [5]Cao Xiaoguang, Shen Gongxin. Pyramid cross-correlation algorithm and it's error analysis . In:Kompenhans J. Proceedings of 4th International Symposium on Particle Image Velocimetry . Goettingen:Germany, 2001. PIV'01 Paper 1026, 1~5
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