DocumentCode
2500288
Title
Iris-Biometric Hash Generation for Biometric Database Indexing
Author
Rathgeb, Christian ; Uhl, Andreas
Author_Institution
Dept. of Comput. Sci., Univ. of Salzburg, Salzburg, Austria
fYear
2010
fDate
23-26 Aug. 2010
Firstpage
2848
Lastpage
2851
Abstract
Performing identification on large-scale biometric databases requires an exhaustive linear search. Since biometric data does not have any natural sorting order, indexing databases, in order to minimize the response time of the system, represents a great challenge. In this work we propose a biometric hash generation technique for the purpose of biometric database indexing, applied to iris biometrics. Experimental results demonstrate that the presented approach highly accelerates biometric identification.
Keywords
cryptography; database indexing; iris recognition; sorting; biometric database indexing; exhaustive linear search; iris-biometric hash generation; large-scale biometric databases; Bioinformatics; Data structures; Indexing; Iris recognition; Mercury (metals); Pixel; Biometric Hash Generation; Biometrics; Database Indexing;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location
Istanbul
ISSN
1051-4651
Print_ISBN
978-1-4244-7542-1
Type
conf
DOI
10.1109/ICPR.2010.698
Filename
5597046
Link To Document