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http://dx.doi.org/10.6109/jkiice.2008.12.8.1456

Improvement of User Recognition Rate using Multi-modal Biometrics  

Geum, Myung-Hwan (대전대학교 정보통신공학과)
Lee, Kyu-Won (대전대학교 정보통신공학과)
Lee, Bong-Hwan (대전대학교 정보통신공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.12, no.8, 2008 , pp. 1456-1462 More about this Journal
Abstract
In general, it is known a single biometric-based personal authentication has limitation to improve recognition rate due to weakness of individual recognition scheme. The recognition rate of face recognition system can be reduced by environmental factor such as illumination, while speaker verification system does not perform well with added surrounding noise. In this paper, a multi-modal biometric system composed of face and voice recognition system is proposed in order to improve the performance of the individual authentication system. The proposed empirical weight sum rule based on the reliability of the individual authentication system is applied to improve the performance of multi-modal biometrics. Since the proposed system is implemented using JAVA applet with security function, it can be utilized in the field of user authentication on the generic Web.
Keywords
Face recognition; Speaker verification; Multi-modal biometrics; User authentication;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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