Facial Expression Recognition Using Artificial Neural Network

  Belal Ahmad,  Ravinder Kumar,  Marghoob Ahmad Usmani

- Facial recognition is a visible indication of effective state, personality, intention and psychopathology of any person. Its not only express our expressions but also provides important communicative clue during social intrection. Facial expression recognition system is developed to analyze different type of human expressions like happy, sad, angry and surprised etc. Face detection is the important part of face recognition systems. Face detection function is complex due to its volatility present in human faces including color, position, expression, pose, and orientation. So using various modeling techniques it is convenient to recognize various facial expressions. The FER system consists of 3 stages: face detection, feature extraction and expression recognition. JAFFE database is used for training the database. In the field of image processing it is very interesting to recognize the human gesture by observing the different movement of eyes, mouth, nose, etc. Any neural network for recognizing the facial expression can be carried out by classification of face detection and token matching. This paper proposes a method using artificial neural networks to find the facial expression using MATLAB (neural network).

Keywords- Image processing, Artificial neural network, Facial expression recognition.

Unique Identification Number - IJEDR1603108
Page Number(s) - 663-666
Pubished in - Volume 4 | Issue 3 | August 2016
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Belal Ahmad,  Ravinder Kumar,  Marghoob Ahmad Usmani,   "Facial Expression Recognition Using Artificial Neural Network", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 3, pp.663-666, August 2016, Available at :http://www.ijedr.org/papers/IJEDR1603108.pdf