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

fYear

2008

fDate

13-15 Dec. 2008

Firstpage

232

Lastpage

235

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICACIA.2008.4770012

Filename

4770012