Which is the main evaluation metric on FVC?
The most important metric for fingerprint algorithm evaluation is the Equal Error Rate (EER). It estimates the probability of the algorithm to make a mistake when decides if two fingerprints images belong to the same finger, i.e., the verification error rate. FVC databases results include EER for each database. The accuracy of a fingerprint algorithm is very sensitive to the sensor because the diversity of properties of the source images. Therefore, an algorithm can behave with an excellent EER for a sensor but very poorly with other. As consequence, the Average Equal Error Rate (AvgEER) is the average result that evaluates the integral accuracy of an algorithm. It describes the mean verification error rate when considering the four images databases all together. Therefore, the AvgERR is a metric of robustness and stability of the algorithm when applied on different sensors, i.e., it shows the capacity of the algorithm for adapting to differences on images and to keep its accuracy with
