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In this paper, a new concept for classifying handwriting data and its analysis for biometric user authentication is presented. The concept's characteristic is the combination of syntax and semantics. It implies a determination of four distinct levels of syntax and semantics to lower complexity and structure information. We demonstrate the concept's impacts on on-line handwritings and the user verification, and clarify the benefit of applying information of higher levels of semantics within the authentication methods. As a result we are able to evaluate techniques for biometric user authentication. Furthermore, we precisely outline and reason a more accurate biometric user authentication system, due to the classification given by the Verifier-Tuple concept.

Verifier-Tuple as a Classifier for Biometric Handwriting Authentication – Combination of Syntax and Semantics