Facial emotion recognition has become an important part of visible face recognition and one of the most important fiel ds in optical pattern recognition.In order to further realize the automatic reco gnition of facial emotions under visible light,this paper proposes an automatic recognition algorithm of facial emotions combining viola-Jones adaptive histogr am equalization (AHE) and discrete wavelet transform (DWT) and deep convolutiona l neural network (CNN).The algorithm uses viola-jones to locate the face and fa cial features,uses adaptive histogram equalization to enhance the facial image,a nd uses DWT to complete facial feature extraction.Finally,the extracted features are directly used in deep convolutional neural network training to realize auto matic facial emotion recognition.The simulation experiment was conducted in CK+ database and visible face images respectively,and the average accuracy rate was 97% in CK+ data set and 95% in visible face image test.The experimental results show that the algorithm can accurately locate visible facial features according to different facial features and emotions.The algorithm presented in this paper can carry out balanced processing of visible image information and automatic rec ognition of emotion categories,and can meet the need of simultaneous recognition of multiple facial emotions under the same frame,with high recognition rate and robustness.