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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
专题类脑智能研究中心
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.
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