The invention relates to a relative identification method based on an angle loss neural network, belonging to the field of image processing. Includes such steps as preprocessing face image in data setto obtain preprocessed face image; 2, constructing a positive sample pair of that face image and a negative sample pair of the face image; 3, generating a corresponding positive sample pair label anda negative sample pair label; 4, generating a training set and a test set; 5, splicing that training set and the t set generated in the step 4; 7, inputting that training data into the neural networkin batch for iterative training, saving the trained neural network parameter, and outputting the trained neural network; 8, inputting that test data splice in the step 5 into the neural network trained in the step 7 for testing. The method adopts an end-to-end task-based learning mode to carry out driving learning on features, and remarkably improves the accuracy rate of kinship identification.
A method of kinship identification based on angle loss neural network