doi: 10.7763/IJIMT.2010.V1.83
Experimental Research on Identification of Facein a Multifaceted Condition with Enhanced Genetic and ANT Colony Optimization Algorithm
Abstract
In this paper, a face recognition system for classification and authentication using Genetic algorithm and Ant colony Optimization soft computing techniques are proposed. The system is framed with three steps. Initially Image pre-processing methods are applied on the input image.Consequently face features are extracted from the processed image, which will be taken as the input to the ANT Colony Optimization (ACO) for feature extraction and feature selection and Genetic Algorithm (GA) is applied in the final step for recognizing the faces The proposed approaches are tested on a number of face images. Experimental results demonstrate the higher extent performance of these algorithms.
Keywords
- ACO
- Feature Extraction
- Genetic Algorithm
- Image Enhancement
How to Cite
S.Venkatesan and Dr.S.Srinivasa Rao Madane, "Experimental Research on Identification of Facein a Multifaceted Condition with Enhanced Genetic and ANT Colony Optimization Algorithm," International Journal of Innovation, Management and Technology, vol. 1, no. 5, pp. 472-477, 2010. https://doi.org/10.7763/IJIMT.2010.V1.83
Copyright & License
Copyright © 2010 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).