Binary Biometric Representation through Pairwise Adaptive Phase Quantization. (20th February 2011)

• Record Type: Journal Article
• Authors: Chen, Chun; Veldhuis, Raymond
• Other Names: Dorizzi Bernadette Academic Editor.
• Is Part Of: EURASIP journal on information security. Volume 2011(2011)
• Publication Date: 2011-02-20
• Subjects: Computer security -- Periodicals; Computer networks -- Security measures -- Periodicals; Data encryption (Computer science) -- Periodicals; Cryptography -- Periodicals; 005.8
• DOI: 10.1155/2011/543106
• Languages: English
• ISSNs: 1687-417X

Abstract

Abstract : 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.