Localization of visual codes using fuzzy inference system

Péter Bodnár, László G. Nyúl

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

Abstract

Usage of computer-readable visual codes is common in everyday life. The reading process of visual codes consists of two steps, localization and data decoding. This paper introduces a fast and robust method for localization of visual codes using Fuzzy Inference Systems based on simplistic, attentive features which can be optionally extended with cell histograms. Input image properties, assigned membership functions and efficiency of the system has been evaluated and discussed, showing FIS is a viable alternative for rapid QR code recognition in the image domain. The basic approach can be also used with lookup tables, that speeds up image cell evaluation and makes it ideal for embedded systems.

Original languageEnglish
Title of host publicationVISAPP 2015 - 10th International Conference on Computer Vision Theory and Applications; VISIGRAPP, Proceedings
EditorsJose Braz, Sebastiano Battiato, Francisco Imai
PublisherSciTePress
Pages345-352
Number of pages8
ISBN (Electronic)9789897580901
Publication statusPublished - Jan 1 2015
Event10th International Conference on Computer Vision Theory and Applications, VISAPP 2015 - Berlin, Germany
Duration: Mar 11 2015Mar 14 2015

Publication series

NameVISAPP 2015 - 10th International Conference on Computer Vision Theory and Applications; VISIGRAPP, Proceedings
Volume2

Other

Other10th International Conference on Computer Vision Theory and Applications, VISAPP 2015
CountryGermany
CityBerlin
Period3/11/153/14/15

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Keywords

  • Histogram
  • Image texture analysis
  • Object detection
  • Pattern recognition
  • QR code

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

Cite this

Bodnár, P., & Nyúl, L. G. (2015). Localization of visual codes using fuzzy inference system. In J. Braz, S. Battiato, & F. Imai (Eds.), VISAPP 2015 - 10th International Conference on Computer Vision Theory and Applications; VISIGRAPP, Proceedings (pp. 345-352). (VISAPP 2015 - 10th International Conference on Computer Vision Theory and Applications; VISIGRAPP, Proceedings; Vol. 2). SciTePress.