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Open Access Open Badges Research Article

Binary Biometric Representation through Pairwise Adaptive Phase Quantization

Chun Chen* and Raymond Veldhuis

Author Affiliations

Department of Electrical Engineering Mathematics and Computer Science, University of Twente, 7500 AE Enschede, The Netherlands

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EURASIP Journal on Information Security 2011, 2011:543106  doi:10.1155/2011/543106

Published: 20 February 2011


Extracting binary strings from real-valued biometric templates is a fundamental step in template compression and protection systems, such as fuzzy commitment, fuzzy extractor, secure sketch, and helper data systems. Quantization and coding is the straightforward way to extract binary representations from arbitrary real-valued biometric modalities. In this paper, we propose a pairwise adaptive phase quantization (APQ) method, together with a long-short (LS) pairing strategy, which aims to maximize the overall detection rate. Experimental results on the FVC2000 fingerprint and the FRGC face database show reasonably good verification performances.