NDLI: Palmprint recognition using state-of-the-art local texture descriptors: a comparative study

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Palmprint recognition using state-of-the-art local texture descriptors: a comparative study

Content Provider	IET Digital Library
Author	Idrissi, Abdellatif El merabet, Youssef El Ruichek, Yassine
Abstract	Several human being traits can be used as a robust and distinctive identifier for a given person. The palm region of the hand is one of these features that researchers in biometric fields have given a huge consideration in recent years. Many works have been proposed in the literature to design palmprint (an image acquired of the palm region) recognition framework. Extraction of prominent image local features is a critical module in most of these approaches. Local Binary Patterns (LBP) like methods, have emerged as one of the most effective feature extraction techniques. Despite a period of remarkable evolution, neither extensive and comprehensive evaluation nor comparison has been performed to date on a large number of LBP variants and non-LBP texture methods in palmprint recognition problem. Motivated by this, this paper aims to fill that gap and provide a comprehensive comparative study of the performance of a large number of recent texture descriptors in palmprint recognition. Extensive experimental results on the well-known constrained and unconstrained challenging palmprint databases, indicate that a number of tested local texture descriptors, which are evaluated for the first time on palmprint recognition, achieve promising results. Classification results are statistically compared through Wilcoxon signed rank test.
Starting Page	143
Ending Page	153
Page Count	11
ISSN	20474938
Volume Number	9
e-ISSN	20474946
Issue Number	Issue 4, Jul (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-bmt/9/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2019.0103
Journal	IET Biometrics
Publisher Date	2020-03-19
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Biometric Field Computer Vision And Image Processing Technique Feature Extraction Technique Image Classification Image Recognition Image Texture Local Binary Pattern Method Local Texture Descriptor Testing NonLBP Texture Method Palmprint Recognition Palmprint Recognition Problem Unconstrained Challenging Palmprint Database Wilcoxon Signed-rank Testing
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Vision and Pattern Recognition Software

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