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 :
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