A Robust Technique to Characterize the Palmprint using Radon transform and Delaunay triangulation
Amel Bouchemha, Amine Naït‐Ali, Nourredine Doghmane · International Journal of Computer Applications · 2010
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.