Copyright © 2025 Authors retain the copyright of this article. This article 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.

@article{157801,
        author = {Dr S Govinda Rao and Dr. P Chandra Sekhar Reddy and Dr P Varaprasada Rao},
        title = {LBP based Fuzzy Co-occurrence Features for Face recognition},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {5},
        number = {9},
        pages = {169-173},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=157801},
        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.},
        keywords = {Face recognition, LBP based Fuzzy Co-occurrence Matrix, Statistical features, LBPFM.},
        month = {},
        }