A Method for Face Recognition from Facial Expression

Facial expressions play a major role in Face Recognition Systems and image processing techniques of Human Machine Interface. There are several techniques for facial features selection like Principal Component Analysis, Distance calculation among face components, Template Matching. This algorithm describes a simple template matching based facial feature selection technique and detects facial expressions based on distances between facial features using a set of image databases. The algorithm involves three stages: Pre Processing, Facial Feature Extraction and Distance Calculations. Then, we can identify whether a human is smiling or not using the measurement of Euclidean distances between pairs of eyes and mouth region of that face.

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