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.
Index Terms—Face recognition, fuzzy logic, information extraction, π membership.
Virendra P. Vishwakarma is with 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. (email: vpvishwakarma@aset.amity.edu, mobile: 91-9891307464, tel.: 91-11-28062106, fax: 91-11-28062105). Sujata Pandey is with the department of Electronics and Communication Engineering, Amity University (e-mail: spandey@amity.edu). M. N. Gupta is with the department of Computer Science and Engineering, Amity School of Engineering Technology (Guru Gobind Singh Indraprastha University), (e-mail: mngupta@gmail.com).
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.
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