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计算机工程 ›› 2007, Vol. 33 ›› Issue (18): 224-226. doi: 10.3969/j.issn.1000-3428.2007.18.079

• 人工智能及识别技术 • 上一篇    下一篇

样条小波基的构造及其在汉字签名鉴别中的应用

赵永健1,袁胜忠2,王洪润3   

  1. (1. 山东大学威海分校信息工程学院,威海 264209;2. 山东大学威海分校现代教育技术部,威海 264209; 3. 鲁东大学物理与电子学院,烟台264001)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-09-20 发布日期:2007-09-20

Construction of Spline Wavelet Bases and Its Application in Chinese Signature Identification

ZHAO Yong-jian1, YUAN Sheng-zhong2, WANG Hong-run3   

  1. (1. Information Engineering Institute, Shandong University(Weihai), Weihai 264209; 2. Department of Modern Education Technology, Shandong University(Weihai), Weihai 264209; 3. Physical and Electronic Institute, Ludong University, Yantai 264001)
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-09-20 Published:2007-09-20

摘要: 基于笔画描述的汉字轮廓线,小波变换能更有效地提取签字的字形特征。该文提出了一种基于小波变换的笔迹鉴别的新方法,利用B-样条函数更适合于计算机图形中的曲线与曲面处理的特性,设计了适合系统特点的四阶样条小波,对签字的每一笔画进行小波变换,又设计了一组公式对各笔画的特征进行合成,从而抽取出了更加稳定有效的签字特征。

关键词: 小波变换, 样条小波, 特征值, 样条函数

Abstract: This paper presents a new approach to identify Chinese signatures based on the wavelet transform. The extracted shape eigenvalues are effective and accurate when the signature is decomposed into character strokes. The B-spline function has the significant characteristic of processing curve and surface in computer graphics. A group of 4-spline wavelet bases are proposed by B-spline function and applied in each stroke of the signature. It also designs a set of formulas to synthesize the extracted eigenvalues for each stroke so that the resulting signature eigenvalues are more effective and stable.

Key words: wavelet transform, spline wavelet, eigenvalue, spline function

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