Recognition of written cues system for users of general paper media

Daiki Yamaji*, Jiro Tanaka

*Corresponding author for this work

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

Abstract

This paper proposes a system for users of “general paper media (newspaper, books, publications, etc.)” using recognition of written cues (made by handwritten entries) and performing digital processing. Users are able to use this system by a smartphone and on paper-media to save a favorite paragraph or image on the paper, illustrate data associations, and search for English translations, all the while being able to use the paper-media in a natural way. Moreover, users are able to browse the interaction logs from both the paper-media and smartphone. Experiments to evaluate the performance of this system shows the high recognition accuracy, and high discrimination accuracy depending on written cues.

Original languageEnglish
Title of host publicationHuman Interface and the Management of Information: Information and Knowledge Design - 17th International Conference, HCI International 2015, Proceedings
PublisherSpringer Verlag
Pages466-476
Number of pages11
Volume9172
ISBN (Print)9783319206110
DOIs
Publication statusPublished - 2015
Externally publishedYes
Event17th International Conference on Human-Computer Interaction, HCI International 2015 - Los Angeles, United States
Duration: 2015 Aug 22015 Aug 7

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9172
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other17th International Conference on Human-Computer Interaction, HCI International 2015
Country/TerritoryUnited States
CityLos Angeles
Period15/8/215/8/7

Keywords

  • Data management
  • Document recognition
  • Handwriting
  • Image processing
  • Image recognition
  • Smartphone

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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