Multi-Biometric Feature Identification Technologies based on Visual Perception and Cognitive Mechanism

摘要

In this paper, we propose some technologies of multi-biometric feature identification, and present a framework of biometric identification system. The contributions of this paper include the following aspects: (1) the information of biological features are prevented from being forged or modified in network transmission by using a scrambling encryption algorithm of Semi-Fragile Watermarking(SFW) which is based on the ridge of the wave energy in the wavelet domain; (2)the model with information fusion based on the Neural Network Wavelet(NNW) and the Probabilistic Decision Based Neural Network(PDBNN), is applied to improve the robustness and efficiency of identification.