Finger-Knuckle-Print ROI Extraction using Curvature Gabor Filter for Human Authentication

Aditya Nigam, Phalguni Gupta

Abstract

Biometric based human recognition is a most obvious method for automatically resolving personal identity with high reliability. In this paper we present a novel finger-knuckle-print ROI extraction algorithm. The basic Gabor filter is modified to Curvature Gabor Filter (CGF) to obtain central knuckle line and central knuckle point which are further used to extract FKP ROI image. Largest public FKP database is used for testing which consists of 7;920 images collected from 660 different fingers. The results has been compared with the only other existing Convex Direction Coding (CDC) ROI extraction algorithm. It has been observed that the proposed algorithm achieves better performance with EER drop percentage more than 20% in all experiments. This suggests that the proposed CGF algorithm has been extracting ROI more consistently then CDC and hence can facilitates any finger-knuckle-print based biometric systems.

References

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Paper Citation


in Harvard Style

Nigam A. and Gupta P. (2016). Finger-Knuckle-Print ROI Extraction using Curvature Gabor Filter for Human Authentication . In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, pages 364-371. DOI: 10.5220/0005724103640371


in Bibtex Style

@conference{visapp16,
author={Aditya Nigam and Phalguni Gupta},
title={Finger-Knuckle-Print ROI Extraction using Curvature Gabor Filter for Human Authentication},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2016)},
year={2016},
pages={364-371},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005724103640371},
isbn={978-989-758-175-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2016)
TI - Finger-Knuckle-Print ROI Extraction using Curvature Gabor Filter for Human Authentication
SN - 978-989-758-175-5
AU - Nigam A.
AU - Gupta P.
PY - 2016
SP - 364
EP - 371
DO - 10.5220/0005724103640371