Analysis of Some Methods for Determining a Print Attack Into a Biometric Personal Identification System

Abstract

The article analyzes and evaluates the state of the problem of detecting a printed attack, false input data in the biometric identification system. The existing methods of replacing the biometric properties of registered users are discussed, as well as methods of combating counterfeiting in biometric systems using motion analysis, analysis of local movements on the face and recognition of facial images based on the assessment of facial vitality. The directions of research to improve the effectiveness of methods for combating false input data are identified.