Texture based FACE recognition using GLCM and LBP schemes

Kamlesh Kumar; Asif Ali Wagan; Mansoor Ahmed Khuhro; Aamir Umrani; Ameen Chhajro; Abdul Hafeez; Asif Ali Laghari    nbsp

doi:10.17485/IJST/v13i13.118

Article

Texture based FACE recognition using GLCM and LBP schemes

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Indian Journal of Science and Technology

DOI: 10.17485/IJST/v13i13.118

Year: 2020, Volume: 13, Issue: 13, Pages: 1401-1411

Original Article

Texture based FACE recognition using GLCM and LBP schemes

Kamlesh Kumar¹, Asif Ali Wagan^1*, Mansoor Ahmed Khuhro¹, Aamir Umrani¹, Ameen Chhajro¹, Abdul Hafeez¹, Asif Ali Laghari¹

¹Department of Computer Science, Sindh Madressatul Islam University, Karachi

*Corresponding author
Asif Ali Wagan
Department of Computer Science, Sindh Madressatul Islam University, Karachi
Email: [email protected]

Received Date:03 April 2020, Accepted Date:23 April 2020, Published Date:22 May 2020

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Objectives: Automatic face recognition has been an important area of biometric authentication and verification system in various applications including crime detection, access control, video surveillance, tracking service and other related areas. Methods/Statistical analysis: In this study, we present Grey Level Co-occurrence Matrix (GLCM) over Local Binary Patterns (LBP) named as GOL texture feature technique for face classification. The experiments have been conducted on AT & T Cambridge Laboratory face images also called (ORL-faces) and Georgia Tech (GT-faces) databases respectively. Findings: We performed a comparative analysis of GLCM and LBP method separately and results showed that the proposed GOL method outperformed in terms of average sensitivity, average specificity, and retrieval time. These findings show efficacy of our proposed system.

Keywords: GLCM; LBP; Face recognition; Feature extraction

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Copyright

Copyright: © 2020 Kumar, Wagan, Khuhro, Umrani, Chhajro, Hafeez, Laghari. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Published By Indian Society for Education and Environment (iSee)