Age Estimation Method of Face Image Based on Deep Learning and Random Forest
The traditional age estimation method of face image only uses part of the information in face image,which leads to the low accuracy of age estimation.Therefore,an age estimation method of face image based on deep learning and random forest is proposed:Preprocess the face image,improve the image recognition and side by side the non-face window;Facial image features are extracted based on deep learning,and facial image information is obtained;The age label distribution coding is established,and the extracted facial image features are transformed into a coded representation;The random forest model is used to estimate the age.The experimental results show that the cumulative error of the proposed method is small and the accuracy is high.
deep learningrandom forestface imageage estimation
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