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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Performance Evaluation of Completed Local Ternary Pattern (CLTP) for Face Image Recognition

Author 1: Sam Yin Yee
Author 2: Taha H. Rassem
Author 3: Mohammed Falah Mohammed
Author 4: Nasrin M. Makbol

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2019.0100446

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 4, 2019.

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Abstract: Feature extraction is the most important step that affects the recognition accuracy of face recognition. One of these features are the texture descriptors that are playing an important role as local features descriptor in many of the face recognition systems. Recently, many types of texture descriptors had been proposed and used for face recognition task. The Completed Local Ternary Pattern (CLTP) is one of the texture descriptors that has been proposed for texture image classification and had been tested for different image classification tasks. It proposed to overcome the Local Binary Pattern (LBP) drawbacks where the CLTP is more robust to noise as well as shown a good discriminative property than others. In this paper, a comprehensive study on the performance of the CLTP for face recognition task has been done. The aim of this study is to investigate and evaluate the CLTP performance using eight different face datasets and compared with the previous texture descriptors. In the experimental results, the CLTP had been shown good recognition rates and outperformed the other texture descriptors for this task. Several face datasets are used in this paper, such as Georgia Tech Face, Collection Facial Images, Caltech Pedestrian Faces, JAFFE, FEI, YALE, ORL, UMIST datasets.

Keywords: Face recognition; recognition accuracy; Local Binary Pat-tern (LBP); Completed Local Binary Pattern (CLBP); Com-pleted Local Ternary Pattern (CLTP)

Sam Yin Yee, Taha H. Rassem, Mohammed Falah Mohammed and Nasrin M. Makbol, “Performance Evaluation of Completed Local Ternary Pattern (CLTP) for Face Image Recognition” International Journal of Advanced Computer Science and Applications(IJACSA), 10(4), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100446

@article{Yee2019,
title = {Performance Evaluation of Completed Local Ternary Pattern (CLTP) for Face Image Recognition},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100446},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100446},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {4},
author = {Sam Yin Yee and Taha H. Rassem and Mohammed Falah Mohammed and Nasrin M. Makbol}
}


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