Research Article

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

by  Amel Bouchemha, Amine Nait-Ali, Nourredine Doghmane
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 10 - Issue 10
Published: November 2010
Authors: Amel Bouchemha, Amine Nait-Ali, Nourredine Doghmane
10.5120/1515-1895
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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 },
                        year    = { 2010 },
                        volume  = { 10 },
                        number  = { 10 },
                        pages   = { 35-42 },
                        doi     = { 10.5120/1515-1895 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2010
                        %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%T 
                        %J International Journal of Computer Applications
                        %V 10
                        %N 10
                        %P 35-42
                        %R 10.5120/1515-1895
                        %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
No index terms available.
Keywords

Biometric Palmprint Radon transform Delaunay triangulation Hausdorff distance Authentication

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