Abstract
This paper presents an encryption based security solution for iris biometric template for secure transmission and database storage. Unlike conventional methods where raw biometric images are encrypted, this paper proposes method for encryption of biometric templates. The advantage of this method is reduced computational complexity as templates are smaller in size than the original biometric image making it suitable for real time applications. To increase the security of the biometric template, encryption is done by using the concept of multiple 1-D chaos and 2-D Arnold chaotic map. The proposed scheme provides a large key space and a high order of resistance against various attacks. Template matching parameters like hamming distance, weighted Euclidean distance, and normalized correlation coefficient are calculated to evaluate the performance of the encryption technique. The proposed algorithm has good key sensitivity, robustness against statistical and differential attacks and an efficient and lossless method for encrypting biometric templates.
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Mehta, G., Dutta, M.K., Kim, P.S. (2016). A Secure Encryption Method for Biometric Templates Based on Chaotic Theory. In: Gavrilova, M., Tan, C. (eds) Transactions on Computational Science XXVII. Lecture Notes in Computer Science(), vol 9570. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-50412-3_8
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DOI: https://doi.org/10.1007/978-3-662-50412-3_8
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