A study on automated checking for upside down printed materials based on optical character recognition

Minjeong Kim, Suyeon Yim, Yeseul Lee, Minwoo Kim, Jin Woo Jung

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Even though modern industry has been widely digitalized and automated, many printed matters aren't digitalized. And even printed matters are often scanned upside down. To check whether scanned matters is upside down or not, matters should be checked by human. This study will suggest an algorithm that checks scanned matter's direction automatically. With the help of Tesseract OCR engine and extract information of a scanned matter, it could be determined if it is scanned in right direction.

Original languageEnglish
Title of host publicationiFUZZY 2018 - 2018 International Conference on Fuzzy Theory and Its Applications
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages115-118
Number of pages4
ISBN (Electronic)9781538674116
DOIs
StatePublished - Nov 2018
Event2018 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2018 - Daegu, Korea, Republic of
Duration: 14 Nov 201817 Nov 2018

Publication series

NameiFUZZY 2018 - 2018 International Conference on Fuzzy Theory and Its Applications

Conference

Conference2018 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2018
Country/TerritoryKorea, Republic of
CityDaegu
Period14/11/1817/11/18

Keywords

  • Bounding box
  • Optical character recognition
  • Upside down checking

Fingerprint

Dive into the research topics of 'A study on automated checking for upside down printed materials based on optical character recognition'. Together they form a unique fingerprint.

Cite this