tailieunhanh - Báo cáo hóa học: " Research Article Binary Biometric Representation through Pairwise Adaptive Phase Quantization Chun Chen and Raymond Veldhuis"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Binary Biometric Representation through Pairwise Adaptive Phase Quantization Chun Chen and Raymond Veldhuis | Hindawi Publishing Corporation EURASIP Journal on Information Security Volume 2011 Article ID 543106 16 pages doi 2011 543106 Research Article Binary Biometric Representation through Pairwise Adaptive Phase Quantization Chun Chen and Raymond Veldhuis Department of Electrical Engineering Mathematics and Computer Science University of Twente 7500 AE Enschede The Netherlands Correspondence should be addressed to Chun Chen Received 18 October 2010 Accepted 24 January 2011 Academic Editor Bernadette Dorizzi Copyright 2011 C. Chen and R. Veldhuis. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 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. 1. Introduction Extracting binary biometric strings is a fundamental step in template compression and protection 1 . It is well known that biometric information is unique yet inevitably noisy leading to intraclass variations. Therefore the binary strings are desired not only to be discriminative but also have to low intraclass variations. Such requirements translate to both low false acceptance rate FAR and low false rejection rate FRR . Additionally from the template protection perspective we know that general biometric information is always public thus any person has