资 源 简 介
签名鉴别和笔记鉴别。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
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