01575nas a2200181 4500008004100000245006900041210006900110260003400179300001400213520092800227100002001155700002801175700002101203700002001224700002001244700001701264856011201281 2012 eng d00aImproving barcode detection with combination of simple detectors0 aImproving barcode detection with combination of simple detectors aNaples, ItalybIEEEcNov 2012 a300 - 3063 a
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, we examine ensemble efficiency of those simple detectors using various aggregation methods. Using a combination of several simple features localization performance improves significantly.
1 aBodnár, Péter1 aNyúl, László, Gábor1 aYetongnon, Kokou1 aChbeir, Richard1 aDipanda, Albert1 aGallo, Luigi uhttps://www.inf.u-szeged.hu/en/publication/improving-barcode-detection-with-combination-of-simple-detectors02238nas a2200193 4500008004100000020002300041245009400064210006900158260003400227300001400261520150600275100002001781700002801801700002101829700002001850700002001870700001701890856013701907 2012 eng d a978-1-4673-5152-2 00aA novel method for accurate and efficient barcode detection with morphological operations0 anovel method for accurate and efficient barcode detection with m aNaples, ItalybIEEEcNov 2012 a307 - 3143 a
Barcode technology is the pillar of automatic identification, that is used in a wide range of real-time applications with various types of codes. The different types of codes and applications impose special problems, so there is a continuous need for solutions with improved effectiveness. There are several methods for barcode localization, that are well characterized by accuracy and speed. Particularly, high-speed processing places need automatic barcode localization, e.g. conveyor belts, automated production, where missed detections cause loss of profit. In this paper, we mainly deal with segmentation of images with 1D barcode, but also analyze the operation of different methods for 2D barcode images as well. Our goal is to detect automatically, rapidly and accurately the barcode location by the help of extracted features. We compare some published method from the literature, which basically rely on the contrast between the background and the shape that represent the code. We also propose a novel algorithm, that outperforms the others in both accuracy and efficiency in detecting 1D codes.
1 aKatona, Melinda1 aNyúl, László, Gábor1 aYetongnon, Kokou1 aChbeir, Richard1 aDipanda, Albert1 aGallo, Luigi uhttps://www.inf.u-szeged.hu/en/publication/a-novel-method-for-accurate-and-efficient-barcode-detection-with-morphological-operations