Abstract
The article is devoted to the development of a system of biometric identification of a person by face,fingerprints and voice. Two-dimensional and three-dimensional characteristics of a person's face, taking into account area and volume, were used as informative signs of biometric identification of a person by face. A complex identification algorithm has been developed to account for such phenomena as portrait shift, different photo scales, and the tilt of the identified face. The FPM10A scanner and the Arduino microcontroller are used for biometric identification of a person by fingerprints. Identification signs are based on the analysis of the structure of papillary patterns on the finger: type and type of papillary pattern; direction and steepness of streams of papillary lines; the structure of the central pattern of the pattern; delta structure; the number of papillary lines between the center and the delta and many other signs. Another type of feature is local. They are also called minutiae (features or special points) — unique features inherent only in a particular print, determining the points of change in the structure of papillary lines (end, split, break, etc.), the orientation of papillary lines and coordinates at these points. Each print can contain up to 70 or more minutations. For biometric identification of a person by voice, MFC and PLP algorithms for digital processing and analysis of audio recordings are used. Various algorithms are used for acoustic speech analysis: hidden Markov models, a model of a mixture of Gaussian distributions. The result of determining the tone of speech and the content of speech for the purposes of voice identification is obtained. The Visual FoxPro DBMS has developed a «multiparametric automated system for biometric identification of an individual».
Highlights
The problem of information protection and information security is one of the most important aspects of the development of modern society
Biometric systems successfully use the following biometric characteristics for user authentication: iris, fingerprint, palm print, vascular patterns, face geometry, voice print, signature, DNA comparison, which have properties without which their practical application is impossible [4]: Authentication methods based on the measurement of a person's biometric parameters provide 100% identification
The human recognition algorithm takes into account such parameters as the volume of the nose, the volume of the eye socket, and other three-dimensional characteristics
Summary
The problem of information protection and information security is one of the most important aspects of the development of modern society. Саусақ іздері бойынша адамды биометриялық сәйкестендіру үшін FPM10A сканері және Arduino микроконтроллері пайдаланылды. Для биометрической идентификации человека по отпечаткам пальцев использован сканер FPM10A и микроконтроллер Arduino.
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