| Paper: | MA-P4.9 |
| Session: | Biometrics II: Human Activity, Gait, Gaze Analysis |
| Time: | Monday, September 17, 09:50 - 12:30 |
| Presentation: |
Poster
|
| Title: |
AUTOMATIC MEASURES FOR PREDICTING PERFORMANCE IN OFF-LINE SIGNATURE |
| Authors: |
F. Alonso-Fernandez; Universidad Autonoma de Madrid | | |
| | M. C. Fairhurst; University of Kent | | |
| | J. Fierrez; Universidad Autonoma de Madrid | | |
| | J. Ortega-Garcia; Universidad Autonoma de Madrid | | |
| Abstract: |
Performance in terms of accuracy is one of the most important goal of a biometric system. Hence, having a measure which is able to predict the performance with respect to a particular sample of interest is specially useful, and can be exploited in a number of ways. In this paper, we present two automatic measures for predicting the performance in off-line signature verification. Results obtained on a sub-corpus of the MCYT signature database confirms a relationship between the proposed measures and system error rates measured in terms of Equal Error Rate (EER), False Acceptance Rate (FAR) and False Rejection Rate (FRR). |
