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http://dx.doi.org/10.5391/JKIIS.2013.23.4.310

Multimodal Biometric Recognition System using Real Fuzzy Vault  

Lee, Dae-Jong (College of Electrical and Computer Engineering, Chungbuk National University)
Chun, Myung-Geun (College of Electrical and Computer Engineering, Chungbuk National University)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.23, no.4, 2013 , pp. 310-316 More about this Journal
Abstract
Biometric techniques have been widely used for various areas including criminal identification due to their reliability. However, they have some drawbacks when the biometric information is divulged to illegal users. This paper proposed multimodal biometric system using a real fuzzy vault by RN-ECC for protecting fingerprint and face template. This proposed method has some advantages to regenerate a key value compared with face or fingerprint based verification system having non-regenerative nature and to implement advanced biometric verification system by fusion of both fingerprint and face recognition. From the various experiments, we found that the proposed method shows high recognition rates comparing with the conventional methods.
Keywords
Fuzzy Vault; RN-ECC; Face Verification; Biometrics;
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Times Cited By KSCI : 8  (Citation Analysis)
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