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  • Analysis of Hardware and Software Products and Solutions for Biometric Identification for Purposes of Personal Security

Educational Programme
Final Grade
Year of Graduation
Karen Vardanyan
Analysis of Hardware and Software Products and Solutions for Biometric Identification for Purposes of Personal Security
Business Informatics
(Bachelor’s programme)
In this paper, we consider biometric identification systems and their basic concepts. The purpose of this work is to identify strengths, weaknesses and comparative advantages of each of the analyzed methods of biometric identification.

To achieve this goal, the following tasks were set:

 study the history of the appearance of biometric systems,

 study common methods of biometric identification,

 study the scheme of work of biometric systems,

 give an explanation of the main parameters for assessing the performance of biometric systems,

 Identify all parameters that characterize biometric identification systems,

 identify the advantages and disadvantages of the methods of biometric identification,

 conduct a comparative analysis of these methods.

During the writing of the paper, the methods of biometric identification, methods of comparing identifiers and the scheme of operation of these systems were studied. A comparative analysis of the currently widely used biometric identification methods was made in order to identify comparative advantages. The main characteristics for comparison were the following: universality, uniqueness, constancy, measurability, productivity, acceptability and the possibility of forgery. As the comparative analysis showed, it is impossible to say unequivocally which method is best, since the characteristics that should be considered when choosing biometric systems depend only on the purposes for which this identification system will be used. Comparing all the characteristics, we can conclude that currently the most convenient methods of recognition are fingerprint recognition and the iris of the eye, since these identifiers are unique, easy to measure, the systems have high performance and the identification process does not require much effort on the part of the user. All other methods are inferior in various parameters.

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