A preliminary study on fingerprint classification using fuzzy rule-based classification systems

In this work we analyze the competitiveness of fuzzy rule-based systems in comparison with black box models like support vector machines to deal with fingerprint classification problems. With this aim, we carry out an experimental study applying different feature extraction models (covering almost every kind of features that are usually considered in this problem) and three fingerprint databases of different qualities. The obtained results show the good behavior of fuzzy rule-based classification systems. Observing these results, new future lines are outlined, which could improve the classification performance achieved with the current models.