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Article:A Robust Technique to Characterize the Palmprint using Radon Transform and Delaunay Triangulation

by Amel Bouchemha, Amine Nait-Ali, Nourredine Doghmane
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 10 - Number 10
Year of Publication: 2010
Authors: Amel Bouchemha, Amine Nait-Ali, Nourredine Doghmane
10.5120/1515-1895

Amel Bouchemha, Amine Nait-Ali, Nourredine Doghmane . Article:A Robust Technique to Characterize the Palmprint using Radon Transform and Delaunay Triangulation. International Journal of Computer Applications. 10, 10 ( November 2010), 35-42. DOI=10.5120/1515-1895

@article{ 10.5120/1515-1895,
author = { Amel Bouchemha, Amine Nait-Ali, Nourredine Doghmane },
title = { Article:A Robust Technique to Characterize the Palmprint using Radon Transform and Delaunay Triangulation },
journal = { International Journal of Computer Applications },
issue_date = { November 2010 },
volume = { 10 },
number = { 10 },
month = { November },
year = { 2010 },
issn = { 0975-8887 },
pages = { 35-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume10/number10/1515-1895/ },
doi = { 10.5120/1515-1895 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:59:24.307648+05:30
%A Amel Bouchemha
%A Amine Nait-Ali
%A Nourredine Doghmane
%T Article:A Robust Technique to Characterize the Palmprint using Radon Transform and Delaunay Triangulation
%J International Journal of Computer Applications
%@ 0975-8887
%V 10
%N 10
%P 35-42
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

For the purpose of biometric applications, we explore in this paper a new robust approach to characterizing palmprint features. Instead of processing the acquired image in the spatial domain, the proposed technique extracts palmprint features using Radon transform and a geometric Delaunay triangulation jointly. In such a process, Radon transform enables the extraction of directional characteristics from the palm of the hand. Afterwards, the most significant information is structured using Delaunay triangulation, thus providing a specific palmprint signature. In order to compare the uniqueness as well as the stability of the palmprint signature, Hausdorff distance has been used as a criterion of similarity. As will be shown in this paper, the palmprint signature is very robust even when considering a low Signal-to-Noise Ratio (SNR). Promising results are obtained from a local database containing 200 palmprint images. This technique is mainly appropriate for authentication applications.

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Index Terms

Computer Science
Information Sciences

Keywords

Biometric Palmprint Radon transform Delaunay triangulation Hausdorff distance Authentication

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