Fingerprint ROI segmentation using fourier coefficients and neural networks

This paper presents a novel method for fingerprint ROI (region of interest) segmentation using Fourier coefficients computed over non-overlapping image segments and used to train a neural network. Experimental results, obtained using a publicly available test database of 200 fingerprint image, demonstrate that this method outperforms a pixel-based approach, in all three figures of merit.