Computer Science – Data Structures and Algorithms
Scientific paper
2012-02-27
Computer Science
Data Structures and Algorithms
Future Generation Computer Systems (2012)
Scientific paper
10.1016/j.future.2012.02.003
The performance evaluation of biometric systems is a crucial step when designing and evaluating such systems. The evaluation process uses the Equal Error Rate (EER) metric proposed by the International Organization for Standardization (ISO/IEC). The EER metric is a powerful metric which allows easily comparing and evaluating biometric systems. However, the computation time of the EER is, most of the time, very intensive. In this paper, we propose a fast method which computes an approximated value of the EER. We illustrate the benefit of the proposed method on two applications: the computing of non parametric confidence intervals and the use of genetic algorithms to compute the parameters of fusion functions. Experimental results show the superiority of the proposed EER approximation method in term of computing time, and the interest of its use to reduce the learning of parameters with genetic algorithms. The proposed method opens new perspectives for the development of secure multibiometrics systems by speeding up their computation time.
El-Abed Mohamad
Giot Romain
Rosenberger Christophe
No associations
LandOfFree
Fast computation of the performance evaluation of biometric systems: application to multibiometric does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Fast computation of the performance evaluation of biometric systems: application to multibiometric, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Fast computation of the performance evaluation of biometric systems: application to multibiometric will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-263841