Palm Vein Recognition based on NonsubSampled Contourlet Transform Features

Amira Oueslati, Nadia Feddaoui, Kamel Hamrouni

Abstract

This paper presents a novel approach for person recognition by palm vein texture image based on Nonsub-Sampled Contourlet Transform (NSCT). Our approach consists of four steps. First, we reduce noise and en-hance contrast in order to produce a better quality of palm vein image then we localize the texture in the ROI. Next, the texture of enhanced image is analyzed by NSCT and obtained features witch are encoded to generate a signature of 676 bytes. Finally, we compute hamming distance in comparison to take decision. The experi-ments are performed on CASIA Multi-Spectral Palm print Image database. The method evaluation is complet-ed in both verification and identification scenarios and experimental results are compared with other methods. Experiments results prove the effectiveness and the robustness of NSCT method to extract discriminative fea-tures of palm veins texture.

References

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Paper Citation


in Harvard Style

Oueslati A., Feddaoui N. and Hamrouni K. (2016). Palm Vein Recognition based on NonsubSampled Contourlet Transform Features . In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, pages 249-254. DOI: 10.5220/0005780902490254


in Bibtex Style

@conference{visapp16,
author={Amira Oueslati and Nadia Feddaoui and Kamel Hamrouni},
title={Palm Vein Recognition based on NonsubSampled Contourlet Transform Features},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2016)},
year={2016},
pages={249-254},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005780902490254},
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 4: VISAPP, (VISIGRAPP 2016)
TI - Palm Vein Recognition based on NonsubSampled Contourlet Transform Features
SN - 978-989-758-175-5
AU - Oueslati A.
AU - Feddaoui N.
AU - Hamrouni K.
PY - 2016
SP - 249
EP - 254
DO - 10.5220/0005780902490254