Face age estimation method based on GAN extended multi-ethnic feature selection

The invention discloses a method for estimating human face age based on GAN extended multi-race feature cooperative selection. Firstly, simulating generation of multi-style human face samples is carried out through a generating antagonism network, so as to rapidly and large-scale expand human face databases of different races, thereby improving the recognition accuracy of age information of yellow, brown and other races. Then the convolution neural network is used to pre-train the original dataset, and then further refined training is carried out based on the expanded face age database. And finally four people of Sub-CNN performs joint feature selection fusion based on group sparse algorithm to solve the problem of age estimation based on face image. The invention obtains a face age estimation model with more generalization ability, and at the same time, the invention can greatly improve the performance of a face recognition system of many ages, and makes up for the shortcomings of theprevious research. 本发明公开