Abstract
The traditional detection algorithms fall into non-machine learning method, which utilize geometrical characteristic of 2D code, introduce digital image analysis method,marginal detection and geometry detection, etc. while these algorithms are no more than elementary methods, they are limited to printed paper, and not applicable to other material surface which Data Matrix is punched on. To solve the drawbacks mentioned above, this paper presents machine methods integrated into cascade filter methods to position the region of 2D code, then employ clustering growth method. Our experiments reveals, compared with traditional method, our methods have achieved higher rate of detection with good robustness.
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Wang, W., He, Wp., Lei, L., Li, Wt. (2012). The Regional Detection of 2D Barcode in Complicated Backgrounds of Metal Parts. In: Zhang, Y., Zhou, ZH., Zhang, C., Li, Y. (eds) Intelligent Science and Intelligent Data Engineering. IScIDE 2011. Lecture Notes in Computer Science, vol 7202. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31919-8_12
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DOI: https://doi.org/10.1007/978-3-642-31919-8_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31918-1
Online ISBN: 978-3-642-31919-8
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