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Research on data fusion of multiple biometric features

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6 Author(s)
Lin Liu ; School of Software Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China ; Xiao-Feng Gu ; Jian-Ping Li ; Jie Lin
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Given uncertain status reports or notes come from multi-sensor, identity fusion further makes them integrate information and jointly determine the observed entities. This paper discusses an improved data fusion approach to multi-biometric feature, including face, fingerprint and iris image. The approach is called improved multiple biometric data fusion algorithm, based on the eigen-face and the Gabor wavelet methods, incorporating the advantages of the single algorithm. Now we have built a new fusion system, which has demonstrated the improved performance over single biometric systems.

Published in:

Apperceiving Computing and Intelligence Analysis, 2009. ICACIA 2009. International Conference on

Date of Conference:

23-25 Oct. 2009