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