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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.

Face Detection and Recognition Using Viola-Jones with PCA-LDA and Square Euclidean Distance

Author 1: Nawaf Hazim Barnouti
Author 2: Sinan Sameer Mahmood Al-Dabbagh
Author 3: Wael Esam Matti
Author 4: Mustafa Abdul Sahib Naser

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2016.070550

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 5, 2016.

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Abstract: In this paper, an automatic face recognition system is proposed based on appearance-based features that focus on the entire face image rather than local facial features. The first step in face recognition system is face detection. Viola-Jones face detection method that capable of processing images extremely while achieving high detection rates is used. This method has the most impact in the 2000’s and known as the first object detection framework to provide relevant object detection that can run in real time. Feature extraction and dimension reduction method will be applied after face detection. Principal Component Analysis (PCA) method is widely used in pattern recognition. Linear Discriminant Analysis (LDA) method that used to overcome drawback the PCA has been successfully applied to face recognition. It is achieved by projecting the image onto the Eigenface space by PCA after that implementing pure LDA over it. Square Euclidean Distance (SED) is used. The distance between two images is a major concern in pattern recognition. The distance between the vectors of two images leads to image similarity. The proposed method is tested on three databases (MUCT, Face94, and Grimace). Different number of training and testing images are used to evaluate the system performance and it show that increasing the number of training images will increase the recognition rate.

Keywords: Face Detection; Face Recognition; PCA; LDA; Viola-Jones; Feature Extraction; Distance Measurement; MATLAB; MUCT; Face94; Grimace

Nawaf Hazim Barnouti, Sinan Sameer Mahmood Al-Dabbagh, Wael Esam Matti and Mustafa Abdul Sahib Naser, “Face Detection and Recognition Using Viola-Jones with PCA-LDA and Square Euclidean Distance” International Journal of Advanced Computer Science and Applications(IJACSA), 7(5), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070550

@article{Barnouti2016,
title = {Face Detection and Recognition Using Viola-Jones with PCA-LDA and Square Euclidean Distance},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070550},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070550},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {5},
author = {Nawaf Hazim Barnouti and Sinan Sameer Mahmood Al-Dabbagh and Wael Esam Matti and Mustafa Abdul Sahib Naser}
}


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