Recognition of Facial Expression Based on Local Binary Patterns (LBP)

Olaniyi Abiodun Ayeni*
Department of Cyber Security, School of Computing, Federal University of Technology, Akure, Nigeria.
Periodicity:September - November'2019
DOI : https://doi.org/10.26634/jcom.7.3.16861

Abstract

Face detection and Expression recognition are few the ongoing research areas in computer vision. Most of the time, face detection precedes facial expression recognition, i.e., the result of face detection is fed as input into expression recognition. This paper presents face detection based on Viola and Jones algorithm and the issues relating to expression recognition. A facial expression recognition system based on Local Binary Pattern (LBP) for feature extraction and Support Vector Machine (SVM) for classification is presented. Different Facial expressions of the staff and students of the Federal University of Technology, Akure (FUTA) were captured and used as training samples. Matrix laboratory 2016a was used for implementation. The designed system achieved an overall 95.4% recognition rate, which is improvement over an existing systems.

Keywords

Face Detection, Expression Recognition, Local Binary Pattern, Machine Learning, Emotions, Feature Extraction, Facial Images.

How to Cite this Article?

Abiodun, A. O. (2019). Recognition of Facial Expression Based on Local Binary Patterns (LBP), i-manager's Journal on Computer Science, 7(3),14-22. https://doi.org/10.26634/jcom.7.3.16861

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