Abstract
In this paper we present a multimodal biometric authentication system based on features of the human hand. A new biometric approach to biometric authentication based on eigen-coefficients of palm, fingers between first and third phalanx, and finger tips, is described. The system was tested on a database containing 10 grey-level images of the left hand and 10 grey-level images of the right hand of 43 people. Preliminary experimental results showed high accuracy of the system in terms of the correct recognition rate (99.49 %) and the equal error rate (0.025 %).
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Pavešić, N., Savič, T., Ribarić, S. (2006). Multimodal Biometric Authentication System Based on Hand Features. In: Spiliopoulou, M., Kruse, R., Borgelt, C., Nürnberger, A., Gaul, W. (eds) From Data and Information Analysis to Knowledge Engineering. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-31314-1_77
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DOI: https://doi.org/10.1007/3-540-31314-1_77
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-31313-7
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