METHODS FOR PERSONAL IMAGE IDENTIFICATION
Currently, various systems of biometric identification are being actively used, one of the most common methods is face recognition. This method has become popular due to the ease of use by the user. Although there are already many methods for recognizing and identifying human faces, they are far from ideal, each method has its drawbacks, manifested in the form of a high recognition error, the risk of falsification of data, or insufficient performance. This article discusses such methods for identifying a person by face, such as the principal component method, the method of analyzing the geometric characteristics of the face, the template comparison method, multilayer neural networks and convolutional neural networks. It is concluded that research in the field of convolutional neural networks based on the CNN model is promising.