Biometric authentication based on perceptual resonance between CNN emergent patterns and humans
Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications - Trang 267-274
Tóm tắt
This paper investigates a novel application in biometry of the emergent complex patterns in cellular neural networks. Using a set of patterns generated in the "unstable" regime of discrete-time generalized cellular automata (GCA), it was found that human subjects exposed to these patterns would resonate perceptually with them in a personal manner which qualifies such a resonance as a biometric "brain signature" of a person. Further research indicates that by using an large enough set of stimuli, a simple linear perceptron can discriminate among persons, thus performing authentication at a low implementation cost.
Từ khóa
#Biometrics #Authentication #Resonance #Cellular neural networks #Humans #Biological information theory #Electronic mail #Performance evaluation #Costs #Fingerprint recognitionTài liệu tham khảo
10.1142/S0218127498000152
10.1142/S0218127499000870
toffoli, 1987, Cellular Automata Machines, 10.7551/mitpress/1763.001.0001
chua, 1998, CNN: A paradigm for complexity, 10.1142/3801
kauffman, 1995, At Home in the Universe The Search for Laws of Self-Organization and Complexity
10.1109/82.222815
10.1142/S0218127400001201
10.1142/S021812749900002X
corby, 0, Authentication “IKnow You” a tutorial available via the Internet