Facial expression recognition based on LBP and SVM decision tree

In order to improve the recognition of facial expression recognition rate, facial expression recognition algorithm is based on a LBP and SVM decision tree. First will facial expression image is converted to LBP characteristic spectrum using LBP algorithm, and then the LBP characteristic spectrum into LBP histogram feature sequence, finally completes the classification and recognition of facial expression by SVM decision tree algorithm, and prove the effectiveness of the proposed method in the recognition of facial expression database in JAFFE.

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