Journal of the Korea Convergence Society (한국융합학회논문지)

Korea Convergence Society (한국융합학회)
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Research on Korea Text Recognition in Images Using Deep Learning

딥 러닝 기법을 활용한 이미지 내 한글 텍스트 인식에 관한 연구

  • 성상하 (동아대학교 경영정보학과) ;
  • 이강배 (동아대학교 경영정보학과) ;
  • 박성호 (동아대학교 경영정보학과)
  • Received : 2020.05.07
  • Accepted : 2020.06.20
  • Published : 2020.06.28

Abstract

In this study, research on character recognition, which is one of the fields of computer vision, was conducted. Optical character recognition, which is one of the most widely used character recognition techniques, suffers from decreasing recognition rate if the recognition target deviates from a certain standard and format. Hence, this study aimed to address this limitation by applying deep learning techniques to character recognition. In addition, as most character recognition studies have been limited to English or number recognition, the recognition range has been expanded through additional data training on Korean text. As a result, this study derived a deep learning-based character recognition algorithm for Korean text recognition. The algorithm obtained a score of 0.841 on the 1-NED evaluation method, which is a similar result to that of English recognition. Further, based on the analysis of the results, major issues with Korean text recognition and possible future study tasks are introduced.

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