engleski

Handwritten signature authentication using statistical measures of basic on-line signature characteristics

Personal signature has become an important part of human identity verification. Therefore, it is important to protect ones signature and be able to detect signature forgery. We present a statistical based approach to signature verification with user oriented signature feature weights. Only basic on-line signature features are used in the verification process. Depending on the authentication threshold, our method achieves satisfying FAR for unskilled and skilled forgery, but there is still some research to be done to improve user experience (reduce FRR).

handwritten signature authentication; signature verification; on-line signature; statistical measures; feature weights

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