Title :
Multi-Biometric Feature Identification Technologies based on Visual Perception and Cognitive Mechanism
Author :
Zhang, Rui ; Hao, Yu-jie ; Zhang, Wei-Hua ; Han, Qiao-Ling ; Lu, Zhi-Peng
Author_Institution :
Dept. of Comput. Sci., Univ. of Electron. Sci. & Technol. of China, Chengdu
Abstract :
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.
Keywords :
biometrics (access control); cognition; decision theory; feature extraction; image coding; image fusion; neural nets; probability; visual perception; watermarking; wavelet transforms; biometric identification system; cognitive mechanism; image feature extraction; information fusion; multi biometric feature identification technology; neural network wavelet domain; probabilistic decision-based neural network; scrambling encryption algorithm; semi fragile watermarking; visual perception; wave energy; Biometrics; Chemical technology; Cryptography; Face detection; Fingerprint recognition; Iris; Neural networks; Visual perception; Watermarking; Wavelet domain; Multi-biometric feature; PDBNN; information fusion; watermarking algorithm; wavelet neural network;
Conference_Titel :
Apperceiving Computing and Intelligence Analysis, 2008. ICACIA 2008. International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-3427-5
Electronic_ISBN :
978-1-4244-3426-8
DOI :
10.1109/ICACIA.2008.4770012
