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Industrial datamatrix barcode recognition with random tilt and rotate the camera
A.Yu. Kruchinin

 

Orenburg State University,
IntBuSoft Ltd

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Full text of article: Russian language.

DOI: 10.18287/0134-2452-2014-38-4-865-870

Pages: 865-870.

Abstract:
An algorithm for the recognition of two-dimensional codes industrial DataMatrix, allowing identify codes that applied shock-point or drip methods on the surface with a complex background. The algorithm can be adapted by changing the mode binarization when changing background code.

Key words:
recognition of barcodes, DataMatrix, binarization image, management of the process of recognition.

Citation:
Kruchinin AY. Industrial datamatrix barcode recognition with random tilt and rotate the camera. Computer Optics 2014; 38(4): 856-864. DOI: 10.18287/0134-2452-2014-38-4-865-870.

References:

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  2. Dita, I. Using mean shift algorithm in the recognition of industrial data matrix codes / I. Dita, V. Gui, M. Otesteanu, F. Quint // SITE'12 Proceedings of the 11th international conference on Telecommunications and Informatics, Proceedings of the 11th international conference on Signal Processing. – Wisconsin, USA: World Scientific and Engineering Academy and Society (WSEAS) Stevens Point, 2012. – P. 174-179.
  3. Kruchinin, A.Yu. Algorithm of recognition of two-dimensional graphic codes with any angle of rotation and a chamber inclination // Materials of the seventh All-Russia scientifically-practical conference (with the international participation) «The Modern Inform Technology in a Science, Formation and Practice». – Orenburg: OSU, 2008. – P. 193-196. – (In Russian).
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  5. Yang, H. Binarization of low-quality barcode images captured by mobile phones using local window of adaptive location and size / H. Yang, A.C. Kot, X. Jiang // IEEE Transactions on Image Processing. – 2012. – Vol. 21(1). – P. 418-425.
  6. Satish, M. Edge Assisted Fast Binarization Scheme for Improved Vehicle License Plate Recognition / M. Satish, V.L. Lajish, S.K. Kopparapu // Communications (NCC), 2011 National Conference on. –2011, 28-30 January. – P. 1-5.
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