DocumentCode :
3366171
Title :
Fuzzy Key Extraction from Fingerprint Biometrics based on Dynamic Quantization Mechanism
Author :
Ong, Thian Song ; Teoh, Andrew Beng Jin
Author_Institution :
Multimedia Univ., Melaka
fYear :
2007
fDate :
29-31 Aug. 2007
Firstpage :
71
Lastpage :
76
Abstract :
Traditional biometrics recognition system is vulnerable to privacy invasion when the stored biometric template is compromised. This in turn will suffer from permanently loss as biometric template is not replaceable In this paper, we propose a key extraction scheme which locks a secure transformed fingerprint bitstring via a novel dynamic quantization mechanism. During authentication stage, the key is extracted from the secure mixture when a genuine fingerprint is presented. A number of keys can be assigned to different applications and could be revoked if the key was compromised. The proposed method retrieve key reliably from a genuine fingerprint up to 99.5% success rate. We perform several security and experimental analyses and the results suggest that the scheme is feasible in practice.
Keywords :
biometrics (access control); message authentication; authentication; dynamic quantization mechanism; fingerprint biometrics; fuzzy key extraction; Authentication; Biometrics; Data mining; Fingerprint recognition; Fuzzy systems; Information science; Information security; Quantization; Table lookup; Testing; BioMixture; Dynamic; Fingerprint; Fuzzy Key Extraction; Log- Gabor Filter.; Quantization Mechanism;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Assurance and Security, 2007. IAS 2007. Third International Symposium on
Conference_Location :
Manchester
Print_ISBN :
0-7695-2876-7
Electronic_ISBN :
978-0-7695-2876-2
Type :
conf
DOI :
10.1109/IAS.2007.61
Filename :
4299753
Link To Document :
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