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International Journal of Image, Graphics and Signal Processing(IJIGSP)

ISSN: 2074-9074 (Print), ISSN: 2074-9082 (Online)

Published By: MECS Press

IJIGSP Vol.11, No.7, Jul. 2019

Face Recognition based Texture Analysis Methods

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Author(s)

Marwa Y. Mohammed

Index Terms

Face recognition;LBP;GLCM;Euclidean distance;Cosine distance;Manhattan distance

Abstract

A unimodal biometric system based Local Binary Pattern (LBP) and Gray Level Co-occurrence Matrix (GLCM) is developed to recognize the facial of 40 subjects. The matching process is implemented using three classifiers: Euclidean distance, Manhattan distance, and Cosine distance. The maximum accuracy (100%) is satisfied when GLCM and LBP are applied with Euclidean distance. The accuracy result of these two methods is advanced the Principle Component Analysis (PCA) and Fourier Descriptors (FDs) recognition rate. The ORL database is considered for constructing the proposed biometric system. 

Cite This Paper

Marwa Y. Mohammed, "Face Recognition based Texture Analysis Methods", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.11, No.7, pp. 1-8, 2019.DOI: 10.5815/ijigsp.2019.07.01

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