@conference {1063, title = {Improving barcode detection with combination of simple detectors}, booktitle = {Proceedings of the International Conference on Signal Image Technology \& Internet Systems (SITIS)}, year = {2012}, note = {ScopusID: 84874080233doi: 10.1109/SITIS.2012.52}, month = {Nov 2012}, pages = {300 - 306}, publisher = {IEEE}, organization = {IEEE}, type = {Conference paper}, address = {Naples, Italy}, abstract = {

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.

}, doi = {10.1109/SITIS.2012.52}, author = {P{\'e}ter Bodn{\'a}r and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l}, editor = {Kokou Yetongnon and Richard Chbeir and Albert Dipanda and Luigi Gallo} } @conference {1064, title = {A novel method for accurate and efficient barcode detection with morphological operations}, booktitle = {Proceedings of the International Conference on Signal Image Technology \& Internet Systems (SITIS)}, year = {2012}, note = {ScopusID: 84874042343doi: 10.1109/SITIS.2012.53}, month = {Nov 2012}, pages = {307 - 314}, publisher = {IEEE}, organization = {IEEE}, type = {Conference paper}, address = {Naples, Italy}, abstract = {

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.

}, isbn = {978-1-4673-5152-2 }, doi = {10.1109/SITIS.2012.53 }, author = {Melinda Katona and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l}, editor = {Kokou Yetongnon and Richard Chbeir and Albert Dipanda and Luigi Gallo} }