Affiliation:
1. Technical University in Zvolen Faculty of Environmental and Manufacturing Technology Department of Manufacturing and Automation Technology Študentská 26, Zvolen , Slovakia
Abstract
Abstract
The paper deals with the possibilities of using Data Matrix codes in production engineering. We designed and tested the computationally efficient method for locating the Data Matrix code in the images. The location search procedure consists of identification of candidate regions using image binarization, then joining adjacent points into continuous regions and also examining outer boundaries of the regions. Afterwards we verify the presence of the Finder Pattern (as two perpendicular line segments) and Timing Pattern (as alternating sequence of black and white modules) in these candidate regions. Such procedure is invariant to shift rotation and scale change of Data Matrix codes. The method we have proposed has been verified on a set of real industrial images and compared to other commercial algorithms. We are also convinced that such technique is also suitable for real-time processing and has achieved better results than comparable commercial algorithms.
Subject
Management of Technology and Innovation,Industrial and Manufacturing Engineering,Management Information Systems
Reference25 articles.
1. [1] Q. Huang, W.S. Chen, X.Y. Huang and Y.Y. Zhu. (2012, Jan.). “Data Matrix Code Location Based on Finder Pattern Detection and Bar Code Border Fitting”. Mathematical Problems in Engineering. [On-line]. Available: www.hindawi.com/journals/mpe/2012/515296 [Jun. 27, 2018].
2. [2] J.B. Burns, A.R. Hanson and E.M. Riseman. “Extracting straight lines”. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. PAMI-8, no. 4, pp. 425-455, 1986.
3. [3] G.R. Gioi, J. Jakubowicz, J.M. Morel and G. Randall. “LSD: a fast line segment detector with a false detection control”. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, no. 4, pp. 722-732, 2010.
4. [4] H. Donghong, T. Hui and C. Xinmeng. “Radon transformation applied in two dimensional barcode image recognition”. Journal of Wuhan University, vol. 5. pp. 584-588, 2005.
5. [5] Z. Chen-guang, Y. Na and H. Ru-kun. “Study of two dimensional barcode identification technology based on HOUGH transform”. Journal of Changchun Normal University, vol. 4, pp. 94-98, 2007.
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