Title: A hybrid online signature verification system supporting multi-confidential levels defined by data mining techniques

Authors: Ji Hwan Moon, Sung Gyu Lee, Sung Young Cho, Yoo-Sung Kim

Addresses: School of Information and Communication Engineering, Inha University, Incheon 402-751, Republic of Korea. ' School of Information and Communication Engineering, Inha University, Incheon 402-751, Republic of Korea. ' School of Information and Communication Engineering, Inha University, Incheon 402-751, Republic of Korea. ' School of Information and Communication Engineering, Inha University, Incheon 402-751, Republic of Korea

Abstract: Online signature verification is used widely for user authentication in many applications. In existing systems, one confidential level is usually used as the threshold for signature verifications. This causes high false rejection ratio (FRR) to systems in which signature verification is less important, and on the other hand, high false acceptance ratio (FAR) to systems in which signature verification is more critical. Thus, applying multi-confidential levels to the signature verification is crucial to solve this problem. Also, data mining techniques can be used to appropriately define multi-confidential levels. This paper proposes a hybrid online signature verification system supporting multi-confidential levels defined by data mining techniques.

Keywords: online signature verification; hybrid signature verification; multi-confidential levels; data mining; user authentication.

DOI: 10.1504/IJISTA.2010.036581

International Journal of Intelligent Systems Technologies and Applications, 2010 Vol.9 No.3/4, pp.262 - 273

Published online: 04 Nov 2010 *

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