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Authors: Amira Oueslati 1 ; Nadia Feddaoui 2 and Kamel Hamrouni 1

Affiliations: 1 National Engineering School of Tunis and University ELMAanar, Tunisia ; 2 University Manouba, Tunisia

Keyword(s): Palm Veins Recognition, NonsubSampled Contourlet Transform (NSCT), ROI Extraction, Feature Extraction, Feature Matching.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis

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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
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; ISSN 2184-4321, pages 249-254. DOI: 10.5220/0005780902490254

@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},
issn={2184-4321},
}

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
IS - 2184-4321
AU - Oueslati, A.
AU - Feddaoui, N.
AU - Hamrouni, K.
PY - 2016
SP - 249
EP - 254
DO - 10.5220/0005780902490254