01555nas a2200169   4500008004100000245007200041210006900113260005000182300001400232520091200246100002001158700002801178700002101206700002301227700001801250856011701268       2013                        eng d00aEfficient 1D and 2D barcode detection using mathematical morphology0 aEfficient 1D and 2D barcode detection using mathematical morphol  aBerlin; HeidelbergbSpringer-VerlagcMay 2013  a464 - 4753 a<p>Barcode technology is essential in automatic identification,and is used in a wide range of real-time applications. Different code types and applications impose special problems, so there is a continuous need for solutions with improved performance. Several methods exist for code localization, that are well characterized by accuracy and speed. Particularly, high-speed processing places need reliable automatic barcode localization, e.g. conveyor belts and automated production, where missed detections cause loss of profit. Our goal is to detect automatically, rapidly and accurately the barcode location with the help of extracted image features. We propose a new algorithm variant, that outperforms in both accuracy and efficiency other detectors found in the literature using similar ideas, and also improves on the detection performance in detecting 2D codes compared to our previous algorithm.</p>1 aKatona, Melinda1 aNyúl, László, Gábor1 aLuengo, Chris, L1 aBorgefors, Gunilla1 aStrand, Robin  uhttps://tisat.inf.u-szeged.hu/en/publication/efficient-1d-and-2d-barcode-detection-using-mathematical-morphology