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Paper details
Number 1 - March 2018
Volume 28 - 2018
An accurate fingerprint reference point determination method based on curvature estimation of separated ridges
Rafal Doroz, Krzysztof Wrobel, Piotr Porwik
Abstract
This paper presents an effective method for the detection of a fingerprint’s reference point by analyzing fingerprint ridges’
curvatures. The proposed approach is a multi-stage system. The first step extracts the fingerprint ridges from an image and
transforms them into chains of discrete points. In the second step, the obtained chains of points are processed by a dedicated
algorithm to detect corners and other points of highest curvature on their planar surface. In a series of experiments we
demonstrate that the proposed method based on this algorithm allows effective determination of fingerprint reference points.
Furthermore, the proposed method is relatively simple and achieves better results when compared with the approaches
known from the literature. The reference point detection experiments were conducted using publicly available fingerprint
databases FVC2000, FVC2002, FVC2004 and NIST.
Keywords
biometrics, image processing, fingerprint recognition, Kolmogorov–Smirnov statistical test, reference point