Simultaneous mixed vertical and horizontal handwritten Japanese character line detection

Tomotaka Kimura, Chinthaka Premachandra, Hiroharu Kawanaka

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

1 Citation (Scopus)


Teachers consume considerable time and their energy in process of marking examination sheets. To reduce this burden on teachers, we have been developing an automatic marking system. To mark examination sheets automatically, handwritten character lines are extracted, and then the characters on those lines are recognized. In this paper, we discuss how character lines are extracted from Japanese handwritten examination sheets without ruled lines. Japanese characters can be written vertically and horizontally, so examination sheets written in Japanese are consisted of mixed vertical and horizontal (MVH) character lines. Conventional character line extraction methods cannot deal with MVH lines, because they have been developed to consider only horizontal character lines. This paper focuses on the simultaneous detection of MVH character lines. The result of experiments using appropriate examination sheet images shows that our method can detect MVH character lines effectively.

Original languageEnglish
Title of host publicationComputer Vision and Graphics - International Conference, ICCVG 2016, Proceedings
EditorsAmitava Datta, Konrad Wojciechowski, Leszek J. Chmielewski, Ryszard Kozera
PublisherSpringer Verlag
Number of pages9
ISBN (Print)9783319464176
Publication statusPublished - 2016
EventInternational Conference on Computer Vision and Graphics, ICCVG 2016 - Warsaw, Poland
Duration: 2016 Sept 192016 Sept 21

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9972 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


OtherInternational Conference on Computer Vision and Graphics, ICCVG 2016

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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