International Journal of Advanced Innovative Technology in Engineering (IJAITE)

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Human Face Expression Recognition Using Facial Features Detection Algorithm

ATUL CHINCHAMALATPURE, PROF. SHIVENDRA DUBEY

Abstract :

Human Face Detection & Expression Recognition is one of the challenging tasks, because of the variations in the illumination, pose and occlusion. Human skin color is an effective feature used to detect, whereas human eyes, nose, eyebrow, chick, forehead are detect faces using facial features detection algorithm as well as recognizing the expression using fuzzy rules . However different person have different skin color and face features. This paper introduced a face detection and expression recognition system to detect faces in images from galleries of known people and recognize the expression from the human face. There are seven basic facial expressions namely fear, surprise, happy, sad, disgust, normal and anger one additional expression is added i.e. “Trace”. To detect the face before trying to recognize the expression saves a lot of facial expression features. This system is fuzzy based expression recognition producing exact facial expression. The first step is to classify each pixel in the given image as a skin pixel or a non-skin pixel. The second step is to identify different facial expression features in detected image. The last step is to decide whether each of the expression identify in the face or not. Finally recognition is done by using fuzzy logic.

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