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Output details

11 - Computer Science and Informatics

Newcastle University

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Output 3 of 100 in the submission

Article title

A Fast Search Algorithm for a Large Fuzzy Database

Type

D - Journal article

DOI

10.1109/TIFS.2008.920726

Title of journal

IEEE Transactions on Information Forensics and Security

Article number

Volume number

Issue number

First page of article

203

ISSN of journal

1556-6021

Year of publication

2008

URL

http://dx.doi.org/10.1109/TIFS.2008.920726

Number of additional authors

Additional information

<12>This paper tackles an outstanding problem in the area of iris recognition: namely, how to search efficiently for the matching iris code from a database. Together with the original inventor of iris recognition (co-author), we invented a novel search algorithm suitable for fuzzy data that contain random errors. The new algorithm is 300 times faster than the traditional exhaustive search with a negligible loss of accuracy. The paper is published in a top journal in the field.

Interdisciplinary

Cross-referral requested

Research group

C - Dependability

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract