On-line Signature Verification Based on Gabor Features

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	On-line Signature Verification Based on Gabor Features
	Xue Ling; Yunhong Wang; Zhaoxiang Zhang
	2010-05-14
会议名称	19th Annual Wireless and Optical Communications Conference
会议录名称	WOCC 2010
会议日期	14-15 May 2010
会议地点	Shanghai, China
摘要	In this paper, the local features obtained from the signature has been used to create the texture image based on the spatio-temporal correlation matrix. The Gabor wavelets exhibit desirable characteristics of spatial locality and orientation selectivity, and are optimally localized in the space and frequency domains. So it has been chosen to extract the Gabor features of the image. Signature is a small sample point problem and Support vector machine (SVM) is especially fit for two classes' problem of small sample. The Gabor features vector has been imported to the SVM classifier and the classification result is obtained. The methods proposed in this paper are validated on the SVC 2004 database and inspiring results are obtained.
关键词	Support Vector Machine Signature Verification Gabor Features
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/13308
专题	智能感知与计算研究中心
通讯作者	Xue Ling
推荐引用方式 GB/T 7714	Xue Ling,Yunhong Wang,Zhaoxiang Zhang. On-line Signature Verification Based on Gabor Features[C],2010.