Digital Content Processing Method for Biometric Identification of Personality Based on Artificial Intelligence Approaches

Abstract

The paper suggests a method for processing digital content for biometric identification based on artificial intelligence approaches. To get the goal the methods of forming digital content characteristics, creating a structure model of a system for processing digital content, the method of selecting the structure determination of parameter values of the mathematical model of digital content processing system are suggested. The suggested characterization of digital content automates the processing of digital content which increases the accuracy and speed of determining the values of signs. The suggested creation of a model structure of a digital content processing system provides knowledge in the form of easily accessible for human understanding rules that simplifies the process of determining the structure of the system and also allows parallel processing of information that allows increasing the learning speed. The suggested selection of structure method of determining values of model parameters of the processing system of the digital content based on the genetic algorithm uses a combination of directed and random search that decreases the probability of a hit in local extremum and provides an acceptable speed of determining values of the model parameters. The suggested method of digital content processing for biometric identification of a personality by voice can be used in various intelligent digital content processing systems.