DocumentCode :
2490444
Title :
A hierarchical model for the evaluation of biometric sample quality
Author :
He, Qian ; Sun, Zhenan ; Tan, Tieniu ; Zou, Yong
Author_Institution :
Center for Biometrics Authentication & Testing, Chinese Acad. of Sci., Beijing
fYear :
2008
fDate :
8-11 Dec. 2008
Firstpage :
1
Lastpage :
4
Abstract :
The evaluation of biometric sample quality is of great importance in the evaluation of biometric algorithms. In this paper, we propose a novel hierarchical model to compute the sample quality at three levels. This model is developed on the basis of three types of influencing factors: global factors, subjective factors and variable factors. We adopt different strategies to compute the corresponding three level qualities: database level quality, class level quality and image level quality. The database level quality is estimated by experience. Then, we compute the mean value of variable number of normalized genuine scores, the quantiles of which are used to determine the class level quality. On the image level quality evaluation, a novel concept of subset frequency is proposed.
Keywords :
biometrics (access control); image recognition; biometric sample quality evaluation; class level quality; database level quality; hierarchical model; image level quality; subset frequency; Authentication; Biometrics; Fingerprint recognition; Frequency; Helium; Image databases; Image matching; Image quality; Iris; Sun;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
ISSN :
1051-4651
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
Type :
conf
DOI :
10.1109/ICPR.2008.4761866
Filename :
4761866
Link To Document :
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