Deep Learning Based Character Recognition Platform in Complex Situations

Bo Seon Kang, Seong Soo Han, You Boo Jeon, Chang Sung Jeong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Recently, various character recognition techniques are advanced and used a lot in real situations. In the real complex situation, it is difficult to recognize characters because of Korean, English of various fonts and background noise. In this paper, we shall present character bounding box module, character recognition module and background elimination module to solve problems. We shall show that the character recognition platform is used in complex situations.

Original languageEnglish
Title of host publicationAdvances in Computer Science and Ubiquitous Computing - CSA-CUTE 2019
EditorsJames J. Park, Simon James Fong, Yi Pan, Yunsick Sung
PublisherSpringer Science and Business Media Deutschland GmbH
Pages435-440
Number of pages6
ISBN (Print)9789811593420
DOIs
Publication statusPublished - 2021
Event11th International Conference on Computer Science and its Applications, CSA 2019 and 14th KIPS International Conference on Ubiquitous Information Technologies and Applications, CUTE 2019 - Macao, China
Duration: 2019 Dec 182019 Dec 20

Publication series

NameLecture Notes in Electrical Engineering
Volume715
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference11th International Conference on Computer Science and its Applications, CSA 2019 and 14th KIPS International Conference on Ubiquitous Information Technologies and Applications, CUTE 2019
Country/TerritoryChina
CityMacao
Period19/12/1819/12/20

Bibliographical note

Funding Information:
Acknowledgements This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2017R1D1A1B03035461), and supported by 2019 Research Grant from Kangwon National University, and the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2018-2014-1-00720), (IITP-2019-2014-1-00720) supervised by the IITP (Institute for Information & communications Technology Promotion), and the Soonchunhyang University Research Fund.

Publisher Copyright:
© 2021, Springer Nature Singapore Pte Ltd.

Keywords

  • Character segmentation
  • Deep learning
  • Image processing
  • Optical character recognition

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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