A New Approach of Face Recognition Using Dct , Pca , and Neural Network in Matlab

  • Urvashi Bakshi, Rohit Singhal
  • Published 2014

Abstract

Volume 3, Issue 3 May – June 2014 Page 238 Abstract: Face recognition is the most effective and natural technique to identify a person. This paper introduces a new technique to recognize human face artificially using DCT, PCA and SOM neural network. Principal component analysis (PCA) is a classical and successful method of dimension reduction. Discrete Cosine Transform (DCT) is a well known compression technique and Self Organize Map (SOM) act as a classifier and has been used for face space representation. The evaluation of the work is done in MATLAB by taking 16 images of 4 different people and each person has 4 diverse facial expressions. The main advantage of this technique is low computational requirement, high speed and better recognition rate.

Cite this paper

@inproceedings{Bakshi2014ANA, title={A New Approach of Face Recognition Using Dct , Pca , and Neural Network in Matlab}, author={Urvashi Bakshi and Rohit Singhal}, year={2014} }