ABSTRACTS OF ARTICLES OF THE JOURNAL "INFORMATION TECHNOLOGIES".
No. 8. Vol. 24. 2018

DOI: 10.17587/it.24.523-528

N. I. Limanova, D. Sc., Professor, M. N. Sedov, Postgraduate Student, e-mail: SedovMN@inbox.ru, Volga State University of Telecommunications and Informatics, Samara, Russian Federation

Fuzzy Searching Algorithm of Personal Details on the Basis of Levenshtein Distance

During the information exchange from one department to another there is a problem of personal identification. This problem concerns people who have partially or completely not coinciding personal details. In the represented work the new algorithm for identification of such people is elaborated. The algorithm is based on the fuzzy comparison and the metrics of Levenshtein. It allows us to find persons who have partial or complete not matching in surnames, names and other requisites in databases. The algorithm is implemented in PL-SQL in the Oracle database 11g.
Keywords: interdepartmental exchange of information; fuzzy comparison; search of personal details; function of intellectual matching; personal identification number (PIN)

P. 523–528

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