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Erschienen in:
2005 | OriginalPaper | Buchkapitel
Binarized Revocable Biometrics in Face Recognition
verfasst von : Ying-Han Pang, Andrew Teoh Beng Jin, David Ngo Chek Ling
Erschienen in: Computational Intelligence and Security
Verlag: Springer Berlin Heidelberg
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This paper proposes a novel revocable two-factor authentication approach which combines user-specific tokenized pseudo-random bit sequence with biometrics data via a logic operation. Through the process, a distinct binary code per person, coined as bio-Bit, is formed. There is no deterministic way to acquire bio-Bit without having both factors. This feature offers an extra protection layer against biometrics fabrication since bio-Bit authenticator is replaceable via token replacement. The proposed method also presents functional advantages of obtaining zero equal error rate and yielding a clean separation between the genuine and imposter populations. Thereby, false accept rate can be eradicated without suffering from the increased occurrence of false reject rate.