doi: 10.7763/IJCTE.2010.V2.147
A Neuro Fuzzy Approach for Facial Expression Recognition Using LBP Histograms
- National Engineering College, Kovilpatti, Tamil Nadu, INDIA.
Abstract
Facial expression analysis plays a significant role for human computer interaction. Automatic analysis of human facial expression is still a challenging problem with many applications. In this paper, we propose neuro-fuzzy based automatic facial expression recognition system to recognize the human facial expressions like happy, fear, sad, angry, disgust and surprise. Initially facial image is segmented into three regions from which the uniform Local Binary Pattern (LBP) texture features distributions are extracted and represented as a histogram descriptor. The facial expressions are recognized using Multiple Adaptive Neuro Fuzzy Inference System (MANFIS). The proposed system designed and tested with JAFFE face database. The proposed model reports 95.29% of classification accuracy.
Keywords
- Adaptive neuro-fuzzy inference system
- Facial expression
- Local binary pattern
- Uniform LBP Histogram
How to Cite
V. Gomathi, K. Ramar, and A. Santhiyaku Jeevakumar, "A Neuro Fuzzy Approach for Facial Expression Recognition Using LBP Histograms," International Journal of Computer Theory and Engineering, vol. 2, no. 2, pp. 245-249, 2010. https://doi.org/10.7763/IJCTE.2010.V2.147
Copyright & License
Copyright © 2010 by the authors. This 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 (CC BY 4.0).