Fingerprint classification using an AM-FM model

Marios S. Pattichis, George Panayi, Alan C. Bovik, Shun-Pin Hsu

Abstract: Research on fingerprint classification has primarily focused on finding improved classifiers, image and feature enhancement, and less on the development of novel fingerprint representations. Using an AM-FM representation for each fingerprint, we obtain significant gains in classification performance as compared to the commonly used National Institute of Standards system, for the same classifier.