Offline Signature Verification Using Critical Region Matching

被引：0
|
作者：
Bansal, Abhay [1 ]
Nemmikanti, Prasad [1 ]
Kumar, Pramod [1 ]
机构：
[1] Newgen Software Technol Ltd, New Delhi 110020, India
来源：
2008 SECOND INTERNATIONAL CONFERENCE ON FUTURE GENERATION COMMUNICATION AND NETWORKING SYMPOSIA, VOLS 1-5, PROCEEDINGS | 2008年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Signature can be seen as an individual characteristic of a person which if modeled with precision can be used for his/her validation. Automatic signature verification is a technique that saves time and money. The paper is focused on skilled forgery detection. In addition, it also lays emphasis on the extraction of the critical regions which are more prone to mistakes. It follows a graph matching approach, which compares these critical regions, taking care of the inevitable intra- personal variations. The results show significant improvement over other approaches for detecting skilled forgery.
引用
收藏
页码：282 / 287
页数：6
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