Abstract
Recent deployments of biometrics application systems have revealed various limitations of the person authentication technology based on a single biometric feature. This paper empirically studies a multi-mode system by integrating face and fingerprint recognition to overcome the limitations of individual single-mode biometric systems and to achieve an increase in performance. This also proposes a framework of the performance evaluation of multiple biometric systems. The multi-mode system has been tested and evaluated by fusion of confidence levels in scenario and operational tests. The results of this research on combining two biometric modalities demonstrate a considerable amount of improvement in EER (Equal Error Rate) and ROC (Receiver Operating Characteristic) curves than single-mode biometric systems.
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Kang, H., Han, Y., Kim, H., Choi, W., Chung, Y. (2004). An Empirical Study of Multi-mode Biometric Systems Using Face and Fingerprint. In: Chae, KJ., Yung, M. (eds) Information Security Applications. WISA 2003. Lecture Notes in Computer Science, vol 2908. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24591-9_26
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DOI: https://doi.org/10.1007/978-3-540-24591-9_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20827-3
Online ISBN: 978-3-540-24591-9
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