@inproceedings{43593d5ad0fd41e690eeca668eacb8f4,
title = "Automatic face recognition using principal component analysis and neural network",
abstract = "Automatic face recognition is a very important research area in computer science since it has been widely used in security systems. It has drawn a lot of attention in the recent ten years from the scientific communities with the aim to provide highly intelligent human-machine interaction with high performance. This paper proposes an automatic face recognition method that encompasses a reduction of significant variable features using the principal components analysis and classification method through Neural Network. The experimental results obtained show an improvement in term of recognition rate compared with the existing method.",
keywords = "Covariance matrix, Eigenvalues and eigenvectors, Feed forward network, Neural network, Principal component analysis",
author = "Mirabeau Nguela and Zenghui Wang and Yanxia Sun",
year = "2017",
language = "English",
series = "2017 7th International Workshop on Computer Science and Engineering, WCSE 2017",
publisher = "International Workshop on Computer Science and Engineering (WCSE)",
pages = "272--277",
booktitle = "2017 7th International Workshop on Computer Science and Engineering, WCSE 2017",
note = "2017 7th International Workshop on Computer Science and Engineering, WCSE 2017 ; Conference date: 25-06-2017 Through 27-06-2017",
}