Binary Biometric Representation through Pairwise Adaptive Phase Quantization

C. Chen; Raymond N.J. Veldhuis

doi:10.1155/2011/543106

Binary Biometric Representation through Pairwise Adaptive Phase Quantization

C. Chen, Raymond N.J. Veldhuis

Research output: Contribution to journal › Article › Academic › peer-review

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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.

Original language	English
Pages (from-to)	543106
Number of pages	16
Journal	Eurasip Journal on Information Security
Volume	2011
DOIs	https://doi.org/10.1155/2011/543106
Publication status	Published - Mar 2011

Keywords

SCS-Safety
EWI-19845
IR-76459
METIS-278705
bit extraction
Template Protection
adaptive phase quantization

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10.1155/2011/543106

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title = "Binary Biometric Representation through Pairwise Adaptive Phase Quantization",

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.",

keywords = "SCS-Safety, EWI-19845, IR-76459, METIS-278705, bit extraction, Template Protection, adaptive phase quantization",

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AB - 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.

KW - SCS-Safety

KW - EWI-19845

KW - IR-76459

KW - METIS-278705

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KW - Template Protection

KW - adaptive phase quantization

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SP - 543106

JO - Eurasip Journal on Information Security

JF - Eurasip Journal on Information Security

ER -

Binary Biometric Representation through Pairwise Adaptive Phase Quantization

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Keywords

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