A handwriting image texture characteristics extraction algorithm based on integral wavelet transform

摘要：

In order to effectively extract the detail of the image characteristics so as to obtain a better identification effect, the paper proposes a texture analysis method for handwriting image based on integral wavelet transform. This method not only can extract the detail features of the texture image, but also is not sensitive to brightness, this characteristic is difficult to achieve for the traditional texture analysis method. Adopting the features extracted of such texture images employed this method as main basis, it can not only simplify the computation, and also do not lose main characteristics of handwriting images.

关键词： Handwriting identification texture analysis integral wavelet transform

作者: YANG Ya-li ZHENG Jian-bin

作者单位: College of Electronics and Information Engineering,Wuhan Textile University, WTUWuhan 430073, China School of information engineering, Wuhan University of Technology, WHUT Wuhan 430070, China

会议类型: 国际会议

会议名称: 2010 3rd International Conference on Advanced Computer Theory and Engineering(2010年第三届先进计算机理论与工程国际会议 ICACTE 2010)

会议地点: 成都

会议语种:英文

页码: 1-3

在线出版日期: 2010-08-20（万方平台首次上网日期，不代表论文的发表时间）