Combining Shape Analysis and Texture Pattern ...
Type de document :
Compte-rendu et recension critique d'ouvrage
Titre :
Combining Shape Analysis and Texture Pattern for Palmprint Recognition
Auteur(s) :
Mokni, Raouia [Auteur]
REsearch Group in Intelligent Machines [Sfax] [REGIM-Lab]
Drira, Hassen [Auteur]
Institut TELECOM/TELECOM Lille1
Modeling and Analysis of Static and Dynamic Shapes [3D-SAM]
Kherallah, Monji [Auteur]
REsearch Group in Intelligent Machines [Sfax] [REGIM-Lab]
REsearch Group in Intelligent Machines [Sfax] [REGIM-Lab]
Drira, Hassen [Auteur]
Institut TELECOM/TELECOM Lille1
Modeling and Analysis of Static and Dynamic Shapes [3D-SAM]
Kherallah, Monji [Auteur]
REsearch Group in Intelligent Machines [Sfax] [REGIM-Lab]
Titre de la revue :
Multimedia Tools and Applications
Éditeur :
Springer Verlag
Date de publication :
2017
ISSN :
1380-7501
Mot(s)-clé(s) en anglais :
Palmprint recognition
Riemannian geometry
Shape Analysis
Texture Pattern
Intra-Modal features
Riemannian geometry
Shape Analysis
Texture Pattern
Intra-Modal features
Discipline(s) HAL :
Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]
Résumé en anglais : [en]
We propose an efficient method for principal line extraction from the palmprint and geometric framework for analyzing their shapes. This representation , along with the elastic Riemannian metric, seems natural for measuring ...
Lire la suite >We propose an efficient method for principal line extraction from the palmprint and geometric framework for analyzing their shapes. This representation , along with the elastic Riemannian metric, seems natural for measuring principal line deformations and is robust to challenges such as orientation variation and re-parameterization due to pose variation and missing part, respectively. The palmprint texture is investigated using the fractal analysis; thus the resulting features are fused with the principal line features. This framework is shown to be promising from both empirical and theoretical perspectives. In terms of empirical evaluation, our results match or improve the state-of-the-art methods on three prominent palmprint datasets: PolyU, CASIA, and IIT-Delhi, each posing a different type of challenge. From a theoretical perspective, this framework allows fusing texture analysis and shape analysis.Lire moins >
Lire la suite >We propose an efficient method for principal line extraction from the palmprint and geometric framework for analyzing their shapes. This representation , along with the elastic Riemannian metric, seems natural for measuring principal line deformations and is robust to challenges such as orientation variation and re-parameterization due to pose variation and missing part, respectively. The palmprint texture is investigated using the fractal analysis; thus the resulting features are fused with the principal line features. This framework is shown to be promising from both empirical and theoretical perspectives. In terms of empirical evaluation, our results match or improve the state-of-the-art methods on three prominent palmprint datasets: PolyU, CASIA, and IIT-Delhi, each posing a different type of challenge. From a theoretical perspective, this framework allows fusing texture analysis and shape analysis.Lire moins >
Langue :
Anglais
Vulgarisation :
Non
Collections :
Source :
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