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Analysis of Facial Expression using LBP and Artificial Neural Network
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 44 - Number 21 |
| Year of Publication: 2012 |
| Authors: Renuka R. Londhe |
10.5120/6398-8886
|
Renuka R. Londhe . Analysis of Facial Expression using LBP and Artificial Neural Network. International Journal of Computer Applications. 44, 21 ( April 2012), 44-49. DOI=10.5120/6398-8886
Abstract
Facial Expression Recognition is rapidly becoming area of interest in computer science and human computer interaction. The most expressive way of displaying the emotions by human is through the facial expressions. Local Binary Patterns are widely used for texture classification. In this research paper, we have projected a method for facial expression recognition using Local Binary Patterns (LBP) as features and Artificial Neural Network as a classification tool and we developed associated scheme. The six universal expressions i. e. anger, Generalized Feed-forward Neural Network recognizes disgust, fear, happy, sad, and surprise as well as seventh one neutral. The Neural Network trained and tested by using Levenberg - Marquart (LM) nonlinear optimization algorithm. We are able to attain 93. 3 % classification rate with testing performance 0. 0573.
References
- Paul Ekman, "Basic Emotions", University of California, Francisco, USA.
- Ioanna-Ourania and George A. Tsihrintzis, "An improved Neural Network based Face Detection and Facial Expression classification system," IEEE international conference on Systems Man and Cybernetics 2004.
- Ying-li Tian, Takeo Kanade, and Jaffery F. Cohn, "Recognizing Action Units for Facial Expression Analysis," IEEE transaction on PAMI, Vol. 23 No. 2 Feb. 2001.
- Maja Pantic and L. L. M. Rothkrantz, "Automatic analysis of facial expressions: The state of the art," IEEE Trans. PAMI Vol. 22 no. 12 2000.
- James J. Lien and Takeo Kanade, "Automated Facial Expression Recognition Based on FACS Action Units", IEEE published in Proceeding of FG 98 in Nara Japan.
- Ma and K. Khorasani, "Facial Expression Recognition Using Constructive Feed forward Neural Networks," IEEE TRANSACTION ON SYSTEM, MAN AND CYBERNETICS, VOL. 34 NO. 3 JUNE 2004.
- Praseeda Lekshmi. V Dr. M. Sasikumar, "A Neural Network Based Facial Expression Analysis using Gabor Wavelets," Word Academy of Science, Engineering and Technology.
- Tima Ojala, Matti Pietikainen and Topi Maenpaa, "Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns", IEEE TRANSACTIONS ON PAMI, VOL. 24 NO. 7 JULY, 2002.
- Japanese Female Facial Expression Database, www. kasrl. org/jaffe_download. html.
- Martin T. Hagan and Mohamad B. Menhaj, "Training Feed-forward Networks with the Marquardt Algorithm," IEEE transactions on Neural Network Vol. 5 No. 6 Nov. 1994.
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