10.5281/zenodo.5048324
https://zenodo.org/records/5048324
oai:zenodo.org:5048324
O'RINOV NODIRBEK TOXIRJONOVICH
O'RINOV NODIRBEK TOXIRJONOVICH
Teacher, Department of Information Technology, Andijan State University, Uzbekistan.
ABDURXMANOV JAMOLIDIN KOMOLDINOVICH
ABDURXMANOV JAMOLIDIN KOMOLDINOVICH
Candidate of physical and mathematical sciences, Department of Information Technology, Andijan State University, Uzbekistan.
OLIMOV MUSLIMBEK ULUG'BEK O'G'LI
OLIMOV MUSLIMBEK ULUG'BEK O'G'LI
Teacher, Department of Information Technology, Andijan State University, Uzbekistan.
Security levels of current biometric identification
Zenodo
2021
identification, authentication, biometric authentication, biometric characteristics, static methods, dynamic methods, biometric identification,
2021-06-30
eng
10.5281/zenodo.5048323
Creative Commons Attribution 4.0 International
The problem of minimizing the possibility of obtaining unauthorized access to information is investigated. The concept of the authentication process and its types are considered. Described are static and dynamic biometric authentication methods based on the use of biometric characteristics such as fingerprint, iris, retina, hand geometry, face geometry, face thermogram, voice and handwriting. The advantages of dynamic methods of biometric authentication are revealed. Based on the results of the analysis of these methods, it was proposed to use facial expressions as a biometric characteristic. It is concluded that the most modern and promising method of biometric authentication is the assessment of the emotional state and facial expressions through constant covert monitoring using a web camera. The prospect of research in the development of this method of bio-metric authentication is the development of a mathematical apparatus, methods and technologies of algorithmic, information and software in this subject area. The development of the mathematical apparatus should be based on the use of methods of local binary templates and nearest neighbors. The method based on the assessment of the emotional state and facial expressions is the most promising, however, research in this area is currently at the stage of development, which does not give a complete picture of all the possibilities of applying the method.
Keywords: identification, authentication, biometric authentication, biometric characteristics, static methods, dynamic methods,