Digitisation of genealogical documents based on automatic text recognition technology

This study aimed to examine existing approaches and technologies for the digitisation of genealogical documents, drawing on international experience. This enabled more efficient organisation of digitisation processes and mechanisms for archive groups, their centralised storage, accelerated genealogical research, and improved user accessibility. The digitisation of archives had became a critically important aspect of preserving cultural heritage, particularly in the context of Russia's military aggression against Ukraine. The introduction of automatic text recognition technology had contributed to the optimisation of this process, facilitating access to information and enhancing the efficiency of research, particularly in the field of genealogy. The study analysed the operating principles of optical character recognition, its advantages, the features of ready-made solutions, and the functionality of software based on this technology. The strategy for digitisation in Ukraine was assessed, along with the challenges facing the archival sector in terms of digitisation and access to archive groups. The research also examined the outcomes of implementing automatic text recognition in leading archives worldwide, as well as the capabilities of online archives that offered contextual search functions. Particular attention was given to the opportunities afforded to researchers through the integration of such systems into archival operations, notably the ease of locating required information, the increased speed of data processing, and the provision of round-the-clock access to archival resources regardless of users’ geographical location. The study also reviewed the research of scholars involved in the development and implementation of optical character recognition in archival institutions. Drawing on international experience, the potential of modern Optical Character Recognition technologies to modernise the archival sector in Ukraine was identified, with positive implications for genealogical research and the preservation of cultural heritage. The practical value of the study lies in demonstrating the effectiveness of information technologies in improving the digitisation process of archival documents and enhancing access to them. The proposed recommendations aim to optimise the organisation of digital archives, improve document storage and retrieval processes, and accelerate genealogical research. These developments will contribute to the preservation of cultural heritage and improve access to archival information for users

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Publication Details

Journal
Scientific journal “Library Science Record Studies Informology”
Published
2024-10-24
DOI
https://doi.org/10.63009/lsrsi/4.2024.56
Primary Topic
Image Processing and 3D Reconstruction
Type
article
Field-Weighted Citation Impact
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article

Digitisation of genealogical documents based on automatic text recognition technology

A. R. Spektor
Scientific journal “Library Science Record Studies Informology”
Image Processing and 3D Reconstruction
article

Digitisation of genealogical documents based on automatic text recognition technology

A. R. Spektor
article en

Abstract

This study aimed to examine existing approaches and technologies for the digitisation of genealogical documents, drawing on international experience. This enabled more efficient organisation of digitisation processes and mechanisms for archive groups, their centralised storage, accelerated genealogical research, and improved user accessibility. The digitisation of archives had became a critically important aspect of preserving cultural heritage, particularly in the context of Russia's military aggression against Ukraine. The introduction of automatic text recognition technology had contributed to the optimisation of this process, facilitating access to information and enhancing the efficiency of research, particularly in the field of genealogy. The study analysed the operating principles of optical character recognition, its advantages, the features of ready-made solutions, and the functionality of software based on this technology. The strategy for digitisation in Ukraine was assessed, along with the challenges facing the archival sector in terms of digitisation and access to archive groups. The research also examined the outcomes of implementing automatic text recognition in leading archives worldwide, as well as the capabilities of online archives that offered contextual search functions. Particular attention was given to the opportunities afforded to researchers through the integration of such systems into archival operations, notably the ease of locating required information, the increased speed of data processing, and the provision of round-the-clock access to archival resources regardless of users’ geographical location. The study also reviewed the research of scholars involved in the development and implementation of optical character recognition in archival institutions. Drawing on international experience, the potential of modern Optical Character Recognition technologies to modernise the archival sector in Ukraine was identified, with positive implications for genealogical research and the preservation of cultural heritage. The practical value of the study lies in demonstrating the effectiveness of information technologies in improving the digitisation process of archival documents and enhancing access to them. The proposed recommendations aim to optimise the organisation of digital archives, improve document storage and retrieval processes, and accelerate genealogical research. These developments will contribute to the preservation of cultural heritage and improve access to archival information for users

Scientific journal “Library Science Record Studies Informology”
Lviv Polytechnic National University (UA)
Openalex Percentile: Top 69%
Image Processing and 3D Reconstruction
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