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Human Recognition using Face, Fingerprint and Voice

  • Patricia Melin
  • Oscar Castillo
Chapter
  • 632 Downloads
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 172)

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.

Keywords

Face Recognition Fuzzy System Smart Card Decision Unit Equal Error Rate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Authors and Affiliations

  • Patricia Melin
    • 1
  • Oscar Castillo
    • 2
  1. 1.Department of Computer ScienceTijuana Institute of TechnologyChula VistaUSA
  2. 2.Department of Computer ScienceTijuana Institute of TechnologyChula VistaUSA

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