Title :
Investigation of DCT/PCA combined with Kohonen classifier for human identification
Author :
Fatma Zohra Chelali;A. Djeradi;N. Cherabit
Author_Institution :
Speech communication and signal processing laboratory LCPTS, Faculty of Electronicas and Computing, University of Science and Technology Houari Boumediene USTHB, Box N032, 16111, Algiers, ALGERIA
Abstract :
In this work, we use DCT transform and eigen-faces method to describe our facial dataset and to build a face recognition system using Kohonen self organizing map neural network classifier. Ascendant hierarchical classification is used to describe the efficiency of DCT transform. A Kohonen SOM neural network classifier is used to classify an individual from three face databases: The ORL, computer vision and Caltech databases. These data sets are used to illustrate the effect of variation of illumination, background and facial rotation. Our study demonstrates the efficiency of DCT without PCA reduction especially in controlled environment.
Keywords :
"Face","Discrete cosine transforms","Face recognition","Principal component analysis","Feature extraction","Neural networks"
Conference_Titel :
Electrical Engineering (ICEE), 2015 4th International Conference on
DOI :
10.1109/INTEE.2015.7416730