DataMatrix code accurate locating based on boundary multi-features fusion

Wei Ping He, Wei Wang, Lei Lei, Wen Tao Li, Gai Fang Guo

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

1 Scopus citations

Abstract

Parting at accurate locating challenges of Data Matrix code that polluted by abrasion, in this paper we present an extracting of best edges combination approach based on code boundary multi-features fusion. Firstly, transform DataMatrix code from image into Hough domain in which candidate boundary combinations be extracted. Afterwards, we design and extract four boundary features of the finder pattern of all candidate boundary combinations. Finally, merge the multi-features according to D-S theory, then make final locating decision base on the fusion result. The experimental results demonstrate the greater robustness and flexibility of our proposed approach to accurate detection of Data Matrix with c abrasion, compared with traditional methods.

Original languageEnglish
Title of host publicationProceedings - 2012 7th International Conference on Computing and Convergence Technology (ICCIT, ICEI and ICACT), ICCCT 2012
Pages1004-1009
Number of pages6
StatePublished - 2012
Event2012 7th International Conference on Computing and Convergence Technology (ICCIT, ICEI and ICACT), ICCCT 2012 - Seoul, Korea, Republic of
Duration: 3 Dec 20125 Dec 2012

Publication series

NameProceedings - 2012 7th International Conference on Computing and Convergence Technology (ICCIT, ICEI and ICACT), ICCCT 2012

Conference

Conference2012 7th International Conference on Computing and Convergence Technology (ICCIT, ICEI and ICACT), ICCCT 2012
Country/TerritoryKorea, Republic of
CitySeoul
Period3/12/125/12/12

Keywords

  • Abraded DataMatrix code
  • accurate locating
  • boundary features
  • candidate boundary combinations
  • fusion

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