Handwriting Verification Based on Fusion of Feature Extracting Algorithms

摘要：

The handwriting verification information fusion algorithm based on advanced majority rule was put forward.Several methods of the off-line,text-dependent writer verification were combined with that fusion algorithm,and the ideal of giving the similarity degree of two handwritings while judging was proposed.We also give calculation method of the similarity degree.The result of combination and the similarity degree of two handwriting images can assist document examiners in making determination.Document examiners can make the final determination according to the request of specific application and the confidence degree of the system.Experimental results indicate that compared with current methods,verification accuracy is greatly raised with this approach.

关键词： Computer Application Writer Verification Handwriting Verification Information Fusion Similarity Degree

作者: Mingge Li Hui Wang Yuzhen Zhong Kai Zheng Xiangang Chen Hongwei Zhao

作者单位: School of Information Technology,Changchun Vocational Institute of Technology,Changchun 130033,China College of Computer Science and Technology,.Jilin university,Changchun 130025,China

会议类型: 国际会议

会议名称: 2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会(2008 International Symposium on Distributed Computing and Applications for Business Engineering and Science)

会议地点: 大连

会议语种:英文

页码: 455-459

在线出版日期: 2008-07-27（万方平台首次上网日期，不代表论文的发表时间）