| Title: |
A Facial Expression Classification System Integrating Canny, Principal Component Analysis and Artificial Neural Network |
| Authors: |
Thai, Le Hoang, Nguyen, Nguyen Do Thai, Hai, Tran Son |
| Source: |
International Journal of Machine Learning and Computing, Vol. 1, No. 4, 2011, 388-393 |
| Publication Year: |
2011 |
| Collection: |
Computer Science |
| Subject Terms: |
Computer Science - Computer Vision and Pattern Recognition |
| More Details: |
Facial Expression Classification is an interesting research problem in recent years. There are a lot of methods to solve this problem. In this research, we propose a novel approach using Canny, Principal Component Analysis (PCA) and Artificial Neural Network. Firstly, in preprocessing phase, we use Canny for local region detection of facial images. Then each of local region's features will be presented based on Principal Component Analysis (PCA). Finally, using Artificial Neural Network (ANN)applies for Facial Expression Classification. We apply our proposal method (Canny_PCA_ANN) for recognition of six basic facial expressions on JAFFE database consisting 213 images posed by 10 Japanese female models. The experimental result shows the feasibility of our proposal method.
Comment: 6 pages, 10 figures, International Journal of Machine Learning and Computing, Vol. 1, No. 4, October 2011, ISSN (Online): 2010-3700, http://www.ijmlc.org/ |
| Document Type: |
Working Paper |
| Access URL: |
http://arxiv.org/abs/1111.4052 |
| Accession Number: |
edsarx.1111.4052 |
| Database: |
arXiv |
