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�������պ����ѧѧ�� 2004, Vol. 30 Issue (03) :240-243    DOI:
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New location algorithm of car license plate using cross-correlation vector map
Cao Xiaoguang, Zhu Fengyun*
School of Astronautics, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

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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.
Keywords�� motor vehicles   cross-correlation   displacements   license plate   vector map     
Received 2002-11-05;
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About author: ������(1963-),��,���պϷ���,������, xgcao@sina.com.
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������, �����.���ڻ����ʸ��ͼ�ij��ƶ�λ���㷨[J]  �������պ����ѧѧ��, 2004,V30(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 A, 2004,V30(03): 240-243
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