Abstract
In this paper we propose a fingerprint bio-cryptosystem with cancelability using fuzzy commitment scheme. The minutiae of a fingerprint are transformed using Delaunay triangulation net constructed from fingerprint minutiae. Further, these transformed features are encrypted using convolution coding. During decoding phase, the Viterbi algorithm is used to get the codeword. Experimental evaluation done on FVC 2002 databases show the credibility of the proposed method. The EER obtained for the proposed method is 1.66%, 1.89% and 6.87% for FVC 2002 DB1, DB2, and DB3 respectively.
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Sandhya, M., Prasad, M.V.N.K. (2016). Cancelable Fingerprint Cryptosystem Based on Convolution Coding. In: Thampi, S., Bandyopadhyay, S., Krishnan, S., Li, KC., Mosin, S., Ma, M. (eds) Advances in Signal Processing and Intelligent Recognition Systems. Advances in Intelligent Systems and Computing, vol 425. Springer, Cham. https://doi.org/10.1007/978-3-319-28658-7_13
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DOI: https://doi.org/10.1007/978-3-319-28658-7_13
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