The parameters adopted for the performance evaluation will be the following:
Evaluation per sensor
- Frej_n: Rate of failure to enroll for the sub-set n.
- Fcorrlive_n: Rate of correctly classified live fingerprints for sub-set n.
- Fcorrfake_n: Rate of correctly classified fake fingerprints for sub-set n.
- Ferrlive_n: Rate of misclassified live fingerprints for sub-set n.
- Ferrfake_n: Rate of misclassified fake fingerprints for sub-set n.
- ET: Average processing time per image
- MAM: Max. Allocated Memory while the algorithm is running.
Overall evaluation
- Frej: Rate of failure to enroll.
- Fcorrlive: Rate of correctly classified live fingerprints.
- Fcorrfake_n: Rate of correctly classified fake fingerprints.
- Ferrlive_n: Rate of misclassified live fingerprints.
- Ferrfake_n: Rate of misclassified fake fingerprints.
Declaration of the Winner
The winner will be awarded by simple averaging the overall classification errors on
the three sensors. Only one winner will be awarded. The declaration will be made
during the social dinner of ICIAP 2009.
A Special Session of ICIAP 2009 will be devoted to present and discuss the
perfomance of the proposed algorithms.