中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
On-line Signature Verification Based on Gabor Features

文献类型:会议论文

作者Xue Ling; Yunhong Wang; Zhaoxiang Zhang
出版日期2010-05-14
会议日期14-15 May 2010
会议地点Shanghai, China
关键词Support Vector Machine Signature Verification Gabor Features
英文摘要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.
会议录WOCC 2010
源URL[http://ir.ia.ac.cn/handle/173211/13308]  
专题自动化研究所_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]. 见:. Shanghai, China. 14-15 May 2010.

入库方式: OAI收割

来源:自动化研究所

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