International Journal of Information Technology and Computer Science(IJITCS)
ISSN: 2074-9007 (Print), ISSN: 2074-9015 (Online)
Published By: MECS Press
IJITCS Vol.7, No.3, Feb. 2015
Facial Expression Classification Using Artificial Neural Network and K-Nearest Neighbor
Full Text (PDF, 294KB), PP.27-32
Facial Expression is a key component in evaluating a person's feelings, intentions and characteristics. Facial Expression is an important part of human-computer interaction and has the potential to play an equal important role in human-computer interaction. The aim of this paper is bring together two areas in which are Artificial Neural Network (ANN) and K-Nearest Neighbor (K-NN) applying for facial expression classification. We propose the ANN_KNN model using ANN and K-NN classifier. ICA is used to extract facial features. The ratios feature is the input of K-NN classifier. We apply ANN_KNN model for seven basic facial expression classifications (anger, fear, surprise, sad, happy, disgust and neutral) on JAFEE database. The classifying precision 92.38% has been showed the feasibility of our proposal model.
Cite This Paper
Tran Son Hai, Le Hoang Thai, Nguyen Thanh Thuy,"Facial Expression Classification Using Artificial Neural Network and K-Nearest Neighbor", International Journal of Information Technology and Computer Science(IJITCS), vol.7, no.3, pp.27-32, 2015. DOI: 10.5815/ijitcs.2015.03.04
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