Combining Shape Analysis and Texture Pattern ...
Document type :
Compte-rendu et recension critique d'ouvrage
Title :
Combining Shape Analysis and Texture Pattern for Palmprint Recognition
Author(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]
Journal title :
Multimedia Tools and Applications
Publisher :
Springer Verlag
Publication date :
2017
ISSN :
1380-7501
English keyword(s) :
Palmprint recognition
Riemannian geometry
Shape Analysis
Texture Pattern
Intra-Modal features
Riemannian geometry
Shape Analysis
Texture Pattern
Intra-Modal features
HAL domain(s) :
Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]
English abstract : [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 ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
Popular science :
Non
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