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On-line Signature Verification Based on Gabor Features
Xue Ling; Yunhong Wang; Zhaoxiang Zhang
2010-05-14
Conference Name19th Annual Wireless and Optical Communications Conference
Source PublicationWOCC 2010
Conference Date14-15 May 2010
Conference PlaceShanghai, China
AbstractIn 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.
KeywordSupport Vector Machine Signature Verification Gabor Features
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/13308
Collection类脑智能研究中心
Corresponding AuthorXue Ling
Recommended Citation
GB/T 7714
Xue Ling,Yunhong Wang,Zhaoxiang Zhang. On-line Signature Verification Based on Gabor Features[C],2010.
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