A Hybrid DWT, PCA and ICA Features for Face Recognition using Neural Network and k-NN Classifiers

Journal

International Journal of Digital Applications and Contemporary Research (IJDACR)

ISSN

2319-4863

Volume / Issue

Vol.4 · Issue 11

Published

June 2016

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Open Access

Licence

CC BY-NC-SA 4.0

Mohammad Shakir Manish Saxena

Face recognition is one of the most relevant applications of image analysis. It is a relevant subject in pattern recognition, computer graphics, image processing neural networks and psychology. Face recognition depends on the particular choice of features used by the classifier for that purpose we are using three different technologies i.e. PCA, ICA and Neural Network in which Neural Network is working as a good classifier.

Mohammad Shakir, Manish Saxena (2016). A Hybrid DWT, PCA and ICA Features for Face Recognition using Neural Network and k-NN Classifiers. International Journal of Digital Applications and Contemporary Research (IJDACR), Vol.4, Issue 11. ISSN: 2319-4863.

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