DocumentCode :
1400058
Title :
Context-based biometric key generation for Iris
Author :
Rathgeb, Christian ; Uhl, Andreas
Author_Institution :
Dept. of Comput. Sci., Univ. of Salzburg, Salzburg, Austria
Volume :
5
Issue :
6
fYear :
2011
fDate :
11/1/2011 12:00:00 AM
Firstpage :
389
Lastpage :
397
Abstract :
In this study, a generic treatment of how to generate biometric keys from binary biometric templates is presented. A context-based analysis of iris biometric feature vectors based on which stable biometric keys are extracted is proposed. Most reliable bits in binary iris codes are detected and utilised to construct keys from fuzzy biometric data. The proposed key-generation scheme is adapted to diverse iris biometric feature extraction algorithms, evaluated on a comprehensive database and compared against existing iris biometric cryptosystems. In addition, the scheme is extended to provide fully revocable biometric keys, long enough to be applied in generic cryptosystems. Experimental results confirm the soundness of the approach.
Keywords :
feature extraction; iris recognition; context-based analysis; context-based biometric key generation; fuzzy biometric data; iris biometric cryptosystems; iris biometric feature extraction algorithms; iris biometric feature vectors; key-generation scheme;
fLanguage :
English
Journal_Title :
Computer Vision, IET
Publisher :
iet
ISSN :
1751-9632
Type :
jour
DOI :
10.1049/iet-cvi.2010.0176
Filename :
6105284
Link To Document :
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