В. А. Коробковский The authors substantiate the need for electronic catalogs that significantly simplify users’ access to relevant information. They formulate the difficulties of this process. The mentioned problems become especially acute for the libraries with a long history and large collections when they start conversion to the digital. The authors discuss the possibilities of bibliographic search expansion through scanning paper catalog cards. The ways to convert paper cards into digital format are described. As part of the study, the advantages and disadvantages of each method for acquiring e-catalog were analyzed, and different technical tools were reviewed to find the most efficient solution for developing e-catalogs. Based on the analysis, through additional training and with the neural networks, the algorithm in the Python language was implemented, which allows to perform preprocessing tasks, to localize the necessary areas, to recognize text and, most importantly, to convert the scanned text into RUSMARC format fields and subfields. This algorithm accelerates retroconversion of bibliographic data as compared to the manual entry.
Научная статья 
RUSMARC
electronic catalog
automated information system
algorithm
retroconversion of bibliographic data
Python
programming
neural networks
bibliographic search
bibliographic card
электронный каталог
автоматизированные информационные системы
алгоритм
ретроконверсия библиографических данных
программирование
нейронные сети
библиографический поиск
библиографическая карточка