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
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;
Conference_Titel :
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-7542-1
DOI :
10.1109/ICPR.2010.363