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- W2304760222 abstract "This paper studied computationally efficient algorithm for facial feature selection based on template matching method which further leads to identification of sm iling face or neutral face. At first, minimal pre-processing including gray scale conversion is done on the image. After that, matching between original image and template image is done using normalized cross-correlation technique. Each matching area is bounded by box to identify that region of interest. The n the mid points between the eye regions are found and the distance between the mid points and the corne rs of the mouth region is calculated. On the basis of the distances between these features, emotions are recognized. After detecting neutral or smiling face, different types of facial expressions are classi fied using linear support vector machine used as multiclass classifier." @default.
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- W2304760222 date "2015-01-10" @default.
- W2304760222 modified "2023-10-16" @default.
- W2304760222 title "A Method for Human Emotion Recognition System" @default.
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- W2304760222 doi "https://doi.org/10.9734/bjmcs/2015/19543" @default.
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