Abstract
We describe in this chapter a new approach for human recognition using as information the face, fingerprint, and voice of a person. We have described in the previous chapters the use of intelligent techniques for achieving face recognition, fingerprint recognition, and voice identification. Now in this chapter we are considering the integration of these three biometric measures to improve the accuracy of human recognition. The new approach will integrate the information from three main modules, one for each of the three biometric measures. The new approach consists in a modular architecture that contains three basic modules: face, fingerprint, and voice. The final decision is based on the results of the three modules and uses fuzzy logic to take into account the uncertainty of the outputs of the modules.
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Melin, P., Castillo, O. Human Recognition using Face, Fingerprint and Voice. In: Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing. Studies in Fuzziness and Soft Computing, vol 172. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-32378-5_12
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DOI: https://doi.org/10.1007/978-3-540-32378-5_12
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24121-8
Online ISBN: 978-3-540-32378-5
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