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
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;
Conference_Titel :
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-7542-1
DOI :
10.1109/ICPR.2010.698