Appearance similarity index for medicinal ampoule labels

Masaomi Kimura, Yutaroh Furukawa, Akira Kojo, Hirotsugu Ishida, Keita Nabeta, Michiko Ohkura, Fumito Tsuchiya

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

1 Citation (Scopus)


Since there are many ampoule injection medicines, it is important to make their labels easily distinguishable because confusing labels may lead to fatal accidents caused by administering the wrong medicine by mistake. In this paper, we utilize Fourier series expansion and wavelet transformation to extract the characteristics in labels and propose an index to measure similarity that we feel toward ampoule labels to prevent confusion in label designs. We also discuss a way of parameterizing colors.

Original languageEnglish
Title of host publicationHuman-Computer Interaction
Subtitle of host publicationDesign and Development Approaches - 14th International Conference, HCI International 2011, Proceedings
Number of pages10
EditionPART 1
Publication statusPublished - 2011
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


Conference14th International Conference on Human-Computer Interaction, HCI International 2011
Country/TerritoryUnited States
CityOrlando, FL


  • Ampoule labels
  • Fourier analysis
  • Medicinal safety
  • Wavelet analysis

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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