DocumentCode :
2502479
Title :
How to Measure Biometric Information?
Author :
Sutcu, Yagiz ; Sencar, Husrev T. ; Memon, Nasir
Author_Institution :
Comput. Sci. & Eng. Dept., Polytech. Inst. of NYU, Brooklyn, NY, USA
fYear :
2010
fDate :
23-26 Aug. 2010
Firstpage :
1469
Lastpage :
1472
Abstract :
Being able to measure the actual information content of biometrics is very important but also a challenging problem. Main difficulty here is not only related to the selected feature representation of the biometric data, but also related to the matching algorithm employed in biometric systems. In this paper, we propose a new measure for measuring biometric information using relative entropy between intra-user and inter-user distance distributions. As an example, we evaluated the proposed measure on a face image dataset.
Keywords :
feature extraction; fingerprint identification; image matching; iris recognition; statistical analysis; biometric information; feature representation; interuser distance distribution; intrauser distance distribution; matching algorithm; relative entropy; Artificial neural networks; Bioinformatics; Databases; Entropy; Estimation; Face; Principal component analysis; biometric information; relative entropy;
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.2010.363
Filename :
5597172
Link To Document :
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