A novel synthetic dataset for research in overlapped fingerprint separation

Abstract

This paper presents a new image dataset for evaluating approaches for overlapped fingerprint separation. The VLATACOM dataset consists of 120,000 synthetically overlapped test images (and the associated masks), with and without noise, processed with three different rotation angles, and in two variations of overall brightness. Each image in the dataset also contains information about the number of the singular points within its overlapped region, which is a distinctly unique feature of the proposed dataset. The paper also reports early experimental results which demonstrate the suitability of the VLATACOM dataset for overlapped fingerprint separation research. The dataset, along with testing results, is freely and publicly available.