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.
Zielona Góra: Uniwersytet Zielonogórski
AMCS, volume 28, number 1 (2018) ; click here to follow the link
Biblioteka Uniwersytetu Zielonogórskiego
Jul 14, 2025
Jul 7, 2025
40
https://zbc.uz.zgora.pl/publication/100754
| Edition name | Date |
|---|---|
| An accurate fingerprint reference point determination method based on curvature estimation of separated ridges | Jul 14, 2025 |
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