Fingerprint Image Segmentation based on Oriented Pattern Analysis

Raimundo Vasconcelos, Helio Pedrini

Abstract

Segmentation is a crucial task in automatic fingerprint identification systems. This paper describes a novel segmentation approach which takes into account the directional information inherent in fingerprint ridges. The method considers a directional operator to feed a k-means unsupervised clustering algorithm that labels the image in non-overlapping regions. Morphological operations are performed to fill holes and properly separate foreground from background. Experiments conducted on Fingerprint Verification Competition (FVC) datasets demonstrate that the proposed method, denoted as Oriented Pattern-based Segmentation (OPS), achieves competitive results when compared to other well-known available fingerprint segmentation approaches.

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Paper Citation


in Harvard Style

Vasconcelos R. and Pedrini H. (2019). Fingerprint Image Segmentation based on Oriented Pattern Analysis.In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, ISBN 978-989-758-354-4, pages 405-412. DOI: 10.5220/0007409104050412


in Bibtex Style

@conference{visapp19,
author={Raimundo Vasconcelos and Helio Pedrini},
title={Fingerprint Image Segmentation based on Oriented Pattern Analysis},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,},
year={2019},
pages={405-412},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007409104050412},
isbn={978-989-758-354-4},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,
TI - Fingerprint Image Segmentation based on Oriented Pattern Analysis
SN - 978-989-758-354-4
AU - Vasconcelos R.
AU - Pedrini H.
PY - 2019
SP - 405
EP - 412
DO - 10.5220/0007409104050412