Face recognition method based on neural network

The invention relates to a face recognition method based on a neural network and belongs to the technical field of artificial intelligence and pattern recognition. The face recognition method is characterized by, at a training phase, firstly training the neural network through a known face image, achieving extraction of facial features through the learning process of the neural network, presenting descriptions of the facial features through the size of a connection weight, then testing the trained neural network by a training sample, and determining a classification threshold; and at a recognizing phase, inputting a face image to the recognized in the neural network, calculating a neural network output vector, and obtaining recognition results through comparing the largest component with the classification threshold. The face recognition method has the advantages that the method has high robustness to face image changes caused by various factors such as ambient lighting, viewing angles, expressions and making up; extraction and presentation of the 'similarity in spirit' feature in face images are achieved; and time for processing each face image is the same during recognition.