Paper Title:
Multi Biometrics Fusion Identity Verification Based on Particle Swarm Optimization
  Abstract

In recent years, biometrics has become one of the most promising identity verification technologies. For the limitations, it is difficult for single mode biometrics to meet requirements of modern identity verification. The paper introduced several common biometrics verification methods and procedures. The limitations of single mode biometrics were also provided and data fusion technology was introduced to solve the problem. On the basis of this, Particle Swarm Optimization (PSO) neural network algorithm was used to construct multi biometrics verification system. The results of experiment based on the method shows that it can achieve better identity verification result and meet requirements of practical applications.

  Info
Periodical
Edited by
Ran Chen
Pages
3195-3199
DOI
10.4028/www.scientific.net/AMM.44-47.3195
Citation
A. M. Huang, M. L. Pen, "Multi Biometrics Fusion Identity Verification Based on Particle Swarm Optimization", Applied Mechanics and Materials, Vols. 44-47, pp. 3195-3199, 2011
Online since
December 2010
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