LBP based Fuzzy Co-occurrence Features for Face recognition

LBP based Fuzzy Co-occurrence Features for Face recognition
Author(s):
Dr S Govinda Rao, Dr. P Chandra Sekhar Reddy, Dr P Varaprasada Rao
Keywords:
Face recognition, LBP based Fuzzy Co-occurrence Matrix, Statistical features, LBPFM.
Abstract
This paper proposes a method for extracting statistical features on Local Binary Pattern based Fuzzy Co-occurrence matrix for effective face recognition. In this method Local Binary Pattern is computed on the image and then fuzzy representation is used for reduction of image local information values. Statistical features are evaluated over Co-occurrence matrices of LBP based fuzzy matrix in four directions 0°, 45°, 90° and 135°. Face recognition algorithm is proposed with these features. The proposed method has been intensively evaluated by applying recognition tests on FGNET and scanned facial images. The results show that this proposed method is superior to the performance obtained using the existing face recognition methods.
Article Details
Unique Paper ID: 157801 Publication Volume & Issue: Volume 5, Issue 9 Page(s): 169 - 173
Article Preview & Download

Share This Article

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org