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	A Contourlet-based Method for Handwritten Signature Verification
	Ming Yang ; Zhongke Yin ; Zhi Zhong ; Shengshu Wang ; Pei Chen ; Yangsheng Xu
	2007
会议名称	Proceedings of the IEEE International Conference on Automation and Logistics, ICAL 2007
会议地点	Jinan, China
英文摘要	Handwritten Signature Verification (HSV) is a discipline which aims to validate the identity of writers according to the handwriting styles. Compared with on-line HSV, off-line HSV is less limited in equipment involvement and can be applied in more fields. Nevertheless, it is more difficult to manipulate than on-line HSV due to the loss of dynamic information during the writing process, such as writing position, velocity, acceleration and pressure. In this paper, we focus on off-line HSV and present a new feature selection method based on Contourlet, which gives full play to the merits of both conventional structure feature and statistical feature. After dimensionality reduction to extracted eigenvector by K-L transform, genuine signatures and forgeries are distinguished through support vector machines (SVM). The result of our experiment has confirmed the effectiveness of the proposed approach
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/2091]
专题	深圳先进技术研究院_集成所
推荐引用方式 GB/T 7714	Ming Yang,Zhongke Yin,Zhi Zhong,et al. A Contourlet-based Method for Handwritten Signature Verification[C]. 见:Proceedings of the IEEE International Conference on Automation and Logistics, ICAL 2007. Jinan, China.

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