Applying DWT and PCA with Artificial Neural Network for FACE RECOGNITION
Abstract
This manuscript presents, Face recognition by combining different extraction approaches combining PCA (principal Component Analysis), DWT (Discrete wavelet transform) and neural networks. This method consists of four steps: i) Preprocessing, ii) Dimension reduction using DWT, iii) feature extraction using PCA and iv) classification using neural network. To validate this work, we have tested this technique on frontal images of the ORL and Yale databases.
Keywords - Face Recognition, Biometrics, PCA, Neural Networks, Feature extraction, eigenfaces , DWT.
References
Published
2021-05-02
Issue
Section
A- Applied Sciences
How to Cite
Applying DWT and PCA with Artificial Neural Network for FACE RECOGNITION. (2021). El-Wahat Journal for Research and Studies, 7(2). https://journals.univ-ghardaia.edu.dz/elwahat/article/view/968

