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On-line Signature Verification using Graph Representation
Kaiyue Wang; Yunhong Wang; Zhaoxiang Zhang
2011-08-12
Conference NameInternational Conference on Image and Graphics
Source PublicationICIG 2011
Conference Date12-15 August 2011
Conference PlaceHefei, China
AbstractThis 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.
KeywordForgery Training Feature Extraction Cost Function Hidden Markov Models Support Vector Machines
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/13283
Collection类脑智能研究中心
Corresponding AuthorZhaoxiang Zhang
Recommended Citation
GB/T 7714
Kaiyue Wang,Yunhong Wang,Zhaoxiang Zhang. On-line Signature Verification using Graph Representation[C],2011.
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