Title :
Optimal thresholding for key generation based on biometrics
Author :
Wende Zhang ; Chang, Yao-Jen ; Chen, Tsuhun
Author_Institution :
Carnegie Mellon Univ., Pittsburgh, PA, USA
Abstract :
In this paper, we introduce a novel method for key generation based on biometrics. Given the biometrics, a set of reliable features are extracted. Each feature is compared with multiple thresholds to generate a multi-bit key. By cascading the multi-bit keys, we obtain one biokey that can be used for security applications. In order to generate a reliable bio-key, an optimal thresholding method is proposed to minimize the authentication error rate, in terms of the false accept rate (FAR) and the false reject rate (FRR). The experimental results show that the proposed approach of key generation is user-friendly and reliable.
Keywords :
cryptography; feature extraction; message authentication; authentication error rate; biokey; biometrics; false accept rate; false reject rate; feature extraction; key generation; multibit key; optimal thresholding method; security application; Access control; Authentication; Bioinformatics; Biometrics; Cryptography; Error analysis; Feature extraction; Fingerprint recognition; Information security; Protection;
Conference_Titel :
Image Processing, 2004. ICIP '04. 2004 International Conference on
Print_ISBN :
0-7803-8554-3
DOI :
10.1109/ICIP.2004.1421857