Author(s): Pushpaja V. Saudagare | D.S. Chaudhari
Journal: International Journal of Soft Computing & Engineering
ISSN 2231-2307
Volume: 2;
Issue: 1;
Start page: 224;
Date: 2012;
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Keywords: face recognition | neural network | and facial expression recognition.
ABSTRACT
In many face recognition systems the important part is face detection. The task of detecting face is complex due to its variability present across human faces including color, pose, expression, position and orientation. So using various modeling techniques it is convenient to recognize various facial expressions. 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. Classification of face detection and token matching can be carried out any neural network for recognizing the facial expression. This paper reviews various techniques of facial expression recognition systems using MATLAB (neural network) toolbox.
Journal: International Journal of Soft Computing & Engineering
ISSN 2231-2307
Volume: 2;
Issue: 1;
Start page: 224;
Date: 2012;
VIEW PDF
DOWNLOAD PDF Original pageKeywords: face recognition | neural network | and facial expression recognition.
ABSTRACT
In many face recognition systems the important part is face detection. The task of detecting face is complex due to its variability present across human faces including color, pose, expression, position and orientation. So using various modeling techniques it is convenient to recognize various facial expressions. 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. Classification of face detection and token matching can be carried out any neural network for recognizing the facial expression. This paper reviews various techniques of facial expression recognition systems using MATLAB (neural network) toolbox.
