Abstract
In this paper we have proposed a biometric-based authentication system based on rough set theory. The system employed signature for authentication purpose. The major functional blocks of the proposed system are presented. Information is extracted as time functions of various dynamic properties of the signatures. We apply our methodology to global features extracted from a 108-users database. Thirty-one features were identified and extracted from each signature. Rough set approach has resulted in a reduced set of nine features that were found to capture the essential characteristics required for signature identification. Low error rates obtained in experiments illustrate the feasibility of using Rough Set as a promising technique for online signature identification systems.
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Own, H.S., Al-Mayyan, W., Zedan, H. (2010). Biometric-Based Authentication System Using Rough Set Theory. In: Szczuka, M., Kryszkiewicz, M., Ramanna, S., Jensen, R., Hu, Q. (eds) Rough Sets and Current Trends in Computing. RSCTC 2010. Lecture Notes in Computer Science(), vol 6086. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13529-3_60
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DOI: https://doi.org/10.1007/978-3-642-13529-3_60
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