Applying DWT and PCA with Artificial Neural Network for FACE  RECOGNITION

dc.contributor.author	Mohammed, Kamel BENKADDOU
dc.date.accessioned	2024-06-05T13:13:08Z
dc.date.available	2024-06-05T13:13:08Z
dc.date.issued	2014
dc.description	Revue ElWahat pour les Recherches et les Etudes Vol.7n°2 (2014) Revue ElWahat pour les recherches et les Etudes ISSN : 1112 -7163 Vol.7n°2 (2014) http://elwahat.univ-ghardaia.dz	EN_en
dc.description.abstract	This manuscript presents, Face recognition by combining different extraction approaches combining PCA (principal Component Analysis), DWT (Discrete wavelet transform 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	EN_en
dc.identifier.issn	112 -7163
dc.identifier.uri	http://dspace.univ-ghardaia.edu.dz/xmlui/handle/123456789/7508
dc.publisher	university ghardaia-Revue ElWahat pour les Recherches et les Etudes	EN_en
dc.subject	Face Recognition, , PCA, Neural Networks, Feature extraction,	EN_en
dc.subject	Biometrics	EN_en
dc.subject	eigenfaces	EN_en
dc.subject	DWT	EN_en
dc.title	Applying DWT and PCA with Artificial Neural Network for FACE RECOGNITION	EN_en
dc.type	Article	EN_en

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