Output details
11 - Computer Science and Informatics
Newcastle University
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Output 0 of 0 in the submission
Article title
A Fast Search Algorithm for a Large Fuzzy Database
Type
D - Journal article
Title of journal
IEEE Transactions on Information Forensics and Security
Article number
-
Volume number
3
Issue number
2
First page of article
203
ISSN of journal
1556-6021
Year of publication
2008
Number of additional authors
2
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
31
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-