Facial expression recognition method based on ELM

The invention discloses a facial expression recognition method based on an ELM. The method comprises the steps that a facial expression image is processed to obtain a facial region, image segmentation is conducted on an expression region containing expression features to obtain an eye expression region body, a nose expression region body and a lip expression region body, then Gabor filters are used for conducting expression feature extraction on the expression region bodies to obtain a total feature vector of each expression, the obtained expression feature vectors are used for training ELM models, the ELM models for all the expressions are combined to form an ELM expression classifier, and at last, the ELM classifier is tested to achieve the purpose of expression classified recognition. The facial expression recognition method based on the ELM increases the expression recognition rate on the condition that illumination influences are avoided.