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Biometrics verification has become a hot subject in recent years because the need to prevent unauthorized accesses to all kinds of e-data. A handwritten signature, being a behaviour biometrics, is well accepted socially and legally as a convenient mean of authorization and identification. This paper presents the approach for derivation of Global and Textural feature required for verification. This method takes care of simple, random and skill type of forgeries. The objective of the work is to reduce

Author
seventhsensegroup
Language
EN

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