LBP based Fuzzy Co-occurrence Features for Face recognition

Dr S Govinda Rao; Dr. P Chandra Sekhar Reddy; Dr P Varaprasada Rao

LBP based Fuzzy Co-occurrence Features for Face recognition

Authors: Dr S Govinda Rao, Dr. P Chandra Sekhar Reddy, Dr P Varaprasada Rao

Unique Paper ID: 157801
Volume: 5
Issue: 9
PageNo: 169-173

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 0Â°, 45Â°, 90Â° and 135Â°. 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.

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Cite This Article

ISSN: 2349-6002
Volume: 5
Issue: 9
PageNo: 169-173

LBP based Fuzzy Co-occurrence Features for Face recognition

Available:https://ijirt.org/Article?manuscript=157801

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Impact Factor
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UGC Approved
Journal no 47859

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