Robust Biometric Key Extraction Based on Iris Cryptosystem

Authors:
Long Zhang;Zhenan Sun;Tieniu Tan;Shungeng Hu
Affiliations:
Center for Intelligence Science and Technology Research, Beijing University of Posts and Telecommunications, Beijing, China 100876;Center for Biometrics and Security Research, National Laboratory of Patten Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China 100190;Center for Biometrics and Security Research, National Laboratory of Patten Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China 100190;Center for Intelligence Science and Technology Research, Beijing University of Posts and Telecommunications, Beijing, China 100876 and China Netcom Group Labs, Beijing, China 100140
Venue:
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Year:
2009

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Abstract

Biometric cryptosystem can not only provide an efficient mechanism for template protection, but also facilitate cryptographic key management, thus becomes a promising direction in information security field. In this paper, we propose a robust key extraction approach which consists of concatenated coding scheme and bit masking scheme based on iris database. The concatenated coding scheme that combines Reed-Solomon code and convolutional code is proposed so that much longer keys can be extracted from the iris data, while the bit masking scheme is proposed to minimize and randomize the errors occur in the iris codes, making the error pattern more suitable for the coding scheme. The experiment results show that the system can achieve a FRR of 0.52% with the key length of 938 bits.