Imaged based codes performance comparison for mobile environments

Jonghoon Seo, Ji Hye Choi, Tack Don Han

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

1 Citation (Scopus)

Abstract

By spreading of smart phones, mobile barcodes are used widely. However, there are so many 2D barcodes to be available. So, it is important to compare those mobile barcodes. In this paper we performed decoding performance comparison between popular mobile barcodes. ColorCode is using color information to get information. So it shows most improved performance in distance and size. Also, it can provide magnifying decoding mode, and it shows more enhancing result.

Original languageEnglish
Title of host publicationHuman-Computer Interaction
Subtitle of host publicationDesign and Development Approaches - 14th International Conference, HCI International 2011, Proceedings
Pages653-659
Number of pages7
EditionPART 1
DOIs
Publication statusPublished - 2011 Jul 19
Event14th International Conference on Human-Computer Interaction, HCI International 2011 - Orlando, FL, United States
Duration: 2011 Jul 92011 Jul 14

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume6761 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other14th International Conference on Human-Computer Interaction, HCI International 2011
CountryUnited States
CityOrlando, FL
Period11/7/911/7/14

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Imaged based codes performance comparison for mobile environments'. Together they form a unique fingerprint.

  • Cite this

    Seo, J., Choi, J. H., & Han, T. D. (2011). Imaged based codes performance comparison for mobile environments. In Human-Computer Interaction: Design and Development Approaches - 14th International Conference, HCI International 2011, Proceedings (PART 1 ed., pp. 653-659). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6761 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-21602-2_71