Multi Biometrics Fusion Identity Verification Based on Particle Swarm Optimization

Ai Ming Huang; Mao Ling Pen

doi:10.4028/www.scientific.net/AMM.44-47.3195

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 44-47Multi Biometrics Fusion Identity Verification...

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.

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Periodical:

Applied Mechanics and Materials (Volumes 44-47)

Pages:

3195-3199

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.44-47.3195

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Online since:

December 2010

Authors:

Ai Ming Huang, Mao Ling Pen

Keywords:

Biometrics, Data Fusion, Face Recognition, Iris Recognition, Particle Swarm

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