doi: 10.7763/IJET.2010.V2.109
Fuzzy based Pixel wise Information Extraction for Face Recognition
Virendra P. Vishwakarma
1
,
Sujata Pandey
2
,
M. N. Gupta
3
- 1 the department of Computer Science and Engineering, Amity School of Engineering Technology (Guru Gobind Singh Indraprastha University), 580, Delhi Palam Vihar Road, Bijwasan, New Delhi-110061, India
- 2 the department of Electronics and Communication Engineering, Amity University
- 3 the department of Computer Science and Engineering, Amity School of Engineering Technology (Guru Gobind Singh Indraprastha University)
Abstract
This paper brings out a new approach of information extraction based on fuzzy logic, which can be used for robust face recognition system. We have applied a fuzzi fication operation to extract the pixel wise association of face images to different classes. The fuzzi fication operation uses π membership function to obtain the degree of belonging of a particular pixel to all classes. Further nearest neighbor classification using correlation coefficient and principal component analysis are used to obtain the classification error over AT&T face database. The results clearly confirmed the superiority of proposed approach.
Keywords
- Face recognition
- fuzzy logic
- information extraction
- π membership
How to Cite
Virendra P. Vishwakarma, Sujata Pandey, and M. N. Gupta, "Fuzzy based Pixel wise Information Extraction for Face Recognition," International Journal of Engineering and Technology, vol. 2, no. 1, pp. 117-123, 2010. https://doi.org/ 10.7763/IJET.2010.V2.109
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).