Handwriting identification based on constructing texture

摘要：

When textural features are applied to handwriting identification,the accuracy is not high due to the fact that the textural features fluctuate randomly because of the different contents and positions of the characters.In this paper an approach for the construction of texture images is presented.The features of the texture images are calculated and the mathematical expectations of them are estimated.Then the Weighted Euclidean Distance(WED)classifier is adopted to identify the writer.This approach is proved to be a very promising method for text-independent handwriting identification both theoretically and practically.

关键词： handwriting identification texture parameter estimation

作者: Qinghu Chen Yuchen Yan Wei Deng Feng Yuan

作者单位: School of electronic information,Wuhan University

会议类型: 国际会议

会议名称: 第一届智能网络与智能系统国际会议(ICINIS 2008)(The First International Conference on Intelligent Networks and Intelligent Systems)

会议地点: 武汉

会议语种:英文

在线出版日期: 2008-11-01（万方平台首次上网日期，不代表论文的发表时间）