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Various methods do exist for facial expression recognition and it's still a challenging task to get accurate results on unseen images due to lack of generalizability. To improve generalization Local Binary Pattern (LBP) are used as feature extraction. Facial parts like eyes, nose and mouth are detected and template is created for each image in dataset. The template of reference image is matched with...
Facial expression carries information about the emotional and physical state of a human being. In the past few years facial expression recognition has become a promising research area. With the developing robotic era the systems needs intelligence to understand human's behavior. Expression recognition is applied and useful from emoticons to disease detection in medical field. Apart from automated...
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