Searching method of personal details on the basis of fuzzy comparison

• Main Authors: Nataliia Limanova, Maxim Sedov
• Format: Article
• Language: English
• Published: Ivannikov Institute for System Programming of the Russian Academy of Sciences 2018-10-01
• Series: Труды Института системного программирования РАН
• Subjects: interdepartmental exchange of information; indistinct matching; search of personal details; function of intellectual matching; personal identification number (pin)
• Online Access: https://ispranproceedings.elpub.ru/jour/article/view/655

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.