On-line Signature Verification using Graph Representation

	On-line Signature Verification using Graph Representation
	Kaiyue Wang; Yunhong Wang; Zhaoxiang Zhang
	2011-08-12
会议日期	12-15 August 2011
会议地点	Hefei, China
关键词	Forgery Training Feature Extraction Cost Function Hidden Markov Models Support Vector Machines
英文摘要	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.
会议录	ICIG 2011
内容类型	会议论文
源URL	[http://ir.ia.ac.cn/handle/173211/13283]
专题	自动化研究所_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]. 见:. Hefei, China. 12-15 August 2011.