옛한글 문서의 전자문서화와 정보공유 방법 제안

Abstract

A vast amount of materials—such as prints, woodblock prints, manuscripts, old novels,and letters—written in old Korean and using old grammar and/or obsolete characters, are collected inmany institutions, including the Jangseogak at the Academy of Korean Studies. Digitization of thesetexts has required a prolonged manual inputting process. Individual researchers, who majored in oldKorean, have read and typed the characters into electronic documents, which depends upon individualskill, effort, and approach, and is particularly limiting because none can be significantly increased. Todate, only a small proportion of the old Korean document collections, currently kept in storage, havebeen digitized and made available to the public. Even the electronic formats of the texts prove difficultto displaying correctly, due to the incompatibility between the old Korean characters and the characterset on today’s electronic devices. To improve the techniques and efficiency of digitizing old Koreantexts, it is necessary to develop optical character recognition (OCR), which will analyze images of oldKorean documents, as well as input, display, and storage methods.