Research on data fusion of multiple biometric features

Abstract

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.