| Document Date: 2008-05-22 07:32:52
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City New York / Morgantown / Berlin / Edinburgh / / Company MySQL / Computer Laboratory / / Country Germany / United Arab Emirates / United Kingdom / Scotland / India / / Currency USD / / / Facility University of Cambridge / West Virginia University / Beacon Guided Search / BEACON GUIDED SEARCH Fig / / IndustryTerm iris-matching algorithm / search delays / search process / search range / fuzzy search domains / large-scale applications / biometric technology / nonideal imaging conditions / Online signature verification / neighbor search / search problem / similarity search / search speed / exhaustive search / search algorithm / average search delay / search algorithms / search size / search performance / brute force exhaustive search / fuzzy applications / search returns / search engines / search accuracy / default solution / brute-force linear search / related applications / search sizes / filter-bank samples / search space / nearest neighbor search / / MusicAlbum U.K. / / MusicGroup Notre Dame / / OperatingSystem FreeBSD / / Organization UAE Ministry of Interior / West Virginia University / British Government / Andhra Pradesh State government / University of Cambridge / / Person P. J. Phillips / John Daugman / G. Amato / V / Vijaya Kumar Bhagavatula / Piotr Zielin / Feng Hao / K. Vijaya Kumar / / Position Governor / Connector/J JDBC driver / vp tree / associate editor / head / or camera. distance / / ProgrammingLanguage Java / SQL / / ProvinceOrState West Virginia / / PublishedMedium Theory of Computing / / Region West Virginia / / Technology search algorithm / BGS algorithm / search algorithms / two algorithms / biometric technology / iris-matching algorithm / Java / condensation / caching / Digital Object Identifier / / URL http /
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IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, VOL. 3, NO. 2, JUNE[removed]A Fast Search Algorithm for a Large Fuzzy Database Feng Hao, John Daugman, and Piotr Zielin´ski