Abstract

During the information exchange from one department to another the problem of personal identification arises. This problem concerns people who have partially or completely not coinciding personal details. In represented work the new method and algorithm for such people identification are elaborated. This method is based on fuzzy comparison and on the metrics of Levenshtein. The algorithm, developed in the form of Data Mining process, allows defining people quickly according to earlier carried out search. The built-in system of personal details priority gives the opportunity to identify person in such cases as changing of surname, name, moving, mistakes from manual data input and if personal details are partially absent also. The algorithm was realized by PL-SQL in Oracle 11g database management system.

Highlights

  • In the course of the interdepartmental information exchange there is an approval problem of the main personal details in databases of various departments

  • The problem of personal identification has the greatest relevance for physical persons who have partially or completely not coinciding personal details

  • In the cases of handling or transferring of physical person data all binding is performed to this personal identification number (PIN)

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Summary

Introduction

In the course of the interdepartmental information exchange there is an approval problem of the main personal details (full name, birth date, address, passport data, etc.) in databases of various departments. There is a problem of personal details comparison in different databases In such cases the elaborated intellectual algorithm of data search in databases or, in the other words, the algorithm of identification of physical persons comes to the aid. For an unambiguous binding it is necessary to execute intellectual search of physical person in base receiver which shall consider a set of factors: the mistakes in the case of manual input in the database, the absent or obsolete personal details and etc. It is reasonable to assume that similar search must be implemented in the form of the specialized software [1]

Automated search problem
Mathematical model of searching method on the basis of fuzzy comparison
Algorithm of the searching method on the basis of fuzzy comparison
Technical and economic indicators of proposed algorithm
Findings
Conclusions
Full Text
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