Barcode Detection Using Local Analysis, Mathematical Morphology, and Clustering
@article{Bodnr2013BarcodeDU, title={Barcode Detection Using Local Analysis, Mathematical Morphology, and Clustering}, author={P{\'e}ter Bodn{\'a}r and L{\'a}szl{\'o} G. Ny{\'u}l}, journal={Acta Cybern.}, year={2013}, volume={21}, pages={21-35} }
Barcode detection is required in a wide range of real-life applications. Imaging conditions and techniques vary considerably and each application has its own requirements for detection speed and accuracy. In our earlier works we built barcode detectors using morphological operations and uniform partitioning with several approaches and showed their behaviour on a set of test images. In this work, those ideas have been extended with clustering, contrast measuring, distance transformation and…
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