Facial Recognition System Based on Score-level Fusion of LBP and Gabor Feature Extraction Techniques

Abstract

Face recognition is gaining recognition over the last few decades. Nowadays, this technology is highly used in smartphones to unlock the phone by sensing the face of an individual. In our paper, we aim to maximize recognition rates by performing the score-level fusion of two feature extraction techniques: Local Binary Pattern (LBP) and Gabor features. These two techniques on fusion provide better recognition rates as compared to the recognition rates when they are considered individually.

Keywords: Biometrics, face recognition, Gabor filter, local binary pattern (LBP), principal component analysis (PCA)

Cite this Article Aditi Garg, Sarthak Garg, Parvinder Singh. Facial Recognition System Based on Score-level Fusion of LBP and Gabor Feature Extraction Techniques. Journal of Artificial Intelligence Research & Advances. 2020; 7(1): 10–14p.