An assessment of data matrix barcode recognition under scaling, rotation and cylindrical warping

  • Authors:

  • Andrei de A. Formiga;Rafael D. Lins;Steven J. Simske;Gary Dispoto;Marcelo Thielo

  • Affiliations:

  • UFPE, Recife, Brazil;UFPE, Recife, Brazil;HP Labs., Palo Alto;HP Labs., Palo Alto;HP Brazil R&D, Porto Alegre, Brazil

  • Venue:
  • Proceedings of the 2011 ACM Symposium on Applied Computing
  • Year:
  • 2011

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Abstract

Data Matrix is a 2D barcode with high information density and wide applicability. When printed in documents or used for labeling products, the barcode may be subject to deformations. This paper looks at the recognition of Data Matrix barcodes is under scaling, rotation and cylindrical warping. The results suggest that the readability of Data Matrix barcodes is immune to rotation transformations and responds well to scaling, while it is more seriously impaired by cylindrical warping.