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On-line Signature Verification using Graph Representation
Kaiyue Wang; Yunhong Wang; Zhaoxiang Zhang
2011-08-12
会议名称International Conference on Image and Graphics
会议录名称ICIG 2011
会议日期12-15 August 2011
会议地点Hefei, China
摘要This paper proposes a novel approach of on-line signature verification. Firstly, on-line signatures are represented by a series of graphs, whose nodes and edges describe certain properties at sample points and relationship between points respectively. Then, graph matching techniques are introduced to compute edit distance between graphs, which measures the similarity of graphs. Finally, having been able to compare any two signatures through the last two steps, user-dependent classifiers are trained using limited genuine signatures. The proposed method is tested on SUSIG online signature database and shows promising performance.
关键词Forgery Training Feature Extraction Cost Function Hidden Markov Models Support Vector Machines
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/13283
专题类脑智能研究中心
通讯作者Zhaoxiang Zhang
推荐引用方式
GB/T 7714
Kaiyue Wang,Yunhong Wang,Zhaoxiang Zhang. On-line Signature Verification using Graph Representation[C],2011.
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