Abstract
To achieve high reliability of biometric authentication using fusion of multimodal biometrics in authentication systems is a novel approach. In this paper we propose a method for the management of access control to ensure the desired level of security using the adaptive combination of multimodal matching scores. It uses a score normalization technique for multimodal biometric authentication using fingerprint, palmprint and voice. This technique is based on the individual scores obtained from each of the biometrics and then normalized to get a fused score. Training data sets are generated from genuine and impostor score distributions. Also this technique is compared with other score normalization techniques and the performance of the proposed system is analyzed. The proposed multimodal biometric authentication system overcomes the limitations of individual biometric systems and also meets the response time as well as the accuracy requirements.
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Sreenivasa Rao, T., Sreenivasa Reddy, E. (2013). Multimodal Biometric Authentication Based on Score Normalization Technique. In: Abraham, A., Thampi, S. (eds) Intelligent Informatics. Advances in Intelligent Systems and Computing, vol 182. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32063-7_45
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DOI: https://doi.org/10.1007/978-3-642-32063-7_45
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