Signal rich art image - A new tool for automatic identification and data capture applications using mobile phones

Ya Lin Lee, Wen-Hsiang Tsai

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

2 Scopus citations

Abstract

A new tool, called signal-rich-art image, for automatic identification and data capture applications is proposed, which is created from an artistic target image for use as a carrier of a given message. The created image is visually similar to the target image, achieving the effect of so-called signal rich art. With its function similar to those of barcodes or QR codes, such a type of image is produced by fragmenting the composing characters of the message and injecting them into the target image by a novel image-block luminance modulation scheme. Skillful techniques are also proposed for message extraction from a mobile phone-captured version of the signal-rich-art image printed on paper or displayed on a screen. Good experimental results show the feasibility of the proposed method.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings
Pages1942-1946
Number of pages5
DOIs
StatePublished - 18 Oct 2013
Event2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Vancouver, BC, Canada
Duration: 26 May 201331 May 2013

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Conference

Conference2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
Country/TerritoryCanada
CityVancouver, BC
Period26/05/1331/05/13

Keywords

  • QR codes
  • automatic identification and data capture
  • barcodes
  • signal rich art
  • signal rich art image

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