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Title: A novel cryptosystem based on iris key generation
Authors: Wu, X
Qi, N
Wang, K
Zhang, DD 
Keywords: Biometrics
Image processing
Image retrieval
Security of data
Issue Date: 2008
Publisher: IEEE Computer Society
Source: ICNC 2008 : fourth International Conference on Natural Computation : Jinan, Shandong, China, 18-20 October 2008, v. 4, p. 53-56 How to cite?
Abstract: Biometric cryptography is a technique using biometric features to encrypt data, which can improve the security of the encrypted data and overcome the shortcomings of the traditional cryptography. This paper proposes a novel biometric cryptosystem based on the most accurate biometric feature - iris. In encryption phase, a quantified 256-dimension textural feature vector is firstly extracted from the preprocessed iris image using a set of 2-D Gabor filters. At the same time, an error-correct-code (ECC) is generated using Reed-Solomon algorithm. Then the feature vector is translated to a cipher key using Hash function. Some general encryption algorithms use this cipher key to encrypt the secret information. In decryption phase, a feature vector extracted from the input iris is firstly corrected using the ECC. Then it is translated to the cipher key using the same Hash function. Finally, the corresponding general decryption algorithms use the key to decrypt the information. Experimental results demonstrate the feasibility of the proposed system.
ISBN: 978-076-95-3304-9
Rights: © 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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