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Dynamic signature recognition is one of the commonly used biometric traits. In this paper, the authors propose use of Gabor filters based feature for verification of dynamic signature. They incorporate the timing information available in the signature along with the Gabor filter response to generate the feature vector. Gabor filters have been widely used for image, texture analysis. Here they present analysis for the Gabor filter based feature vector of a dynamic signature. With the advancement in the technology various methods of person identification are possible because of availability of affordable and co-operative sensors as well as capable processing computers and storage media.
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