00536nas a2200133 4500008004100000245007000041210006900111260004800180300001200228490000700240100002000247700002300267856011200290 2015 eng d00aFast recognition of natural feature identifiers by a mobile phone0 aFast recognition of natural feature identifiers by a mobile phon aSzeged, HungarybUniversity of Szegedc2015 a101-1160 v221 aKatona, Melinda1 aNyúl, László, G uhttps://www.inf.u-szeged.hu/publication/fast-recognition-of-natural-feature-identifiers-by-a-mobile-phone-000771nas a2200181 4500008003900000245010000039210007500139260008600214300001100300100002700311700002000338700001900358700001900377700002000396700001800416700002300434856013200457 2015 d00aIdőskori makula degeneráció kvantitatív jellemzése SD-OCT képek automatikus elemzésével0 aIdőskori makula degeneráció kvantitatív jellemzése SDOCT képek a aVeszprém, HungarybNeumann János Számítógép-tudományi TársaságcNov 2015 a43-48.1 aVarga, László Gábor1 aKatona, Melinda1 aGrósz, Tamás1 aDombi, József1 aKovács, Attila1 aDégi, Rózsa1 aNyúl, László, G uhttps://www.inf.u-szeged.hu/publication/idoskori-makula-degeneracio-kvantitativ-jellemzese-sd-oct-kepek-automatikus-elemzesevel00539nas a2200121 4500008004100000245008400041210007700125260004000202300001200242100002000254700002800274856011500302 2015 hun d00aVonalkódok és természetes vizuális azonosítók felismerése valós időben0 aVonalkódok és természetes vizuális azonosítók felismerése valós aKecskemét, MagyarországcJan 2015 a562-5771 aKatona, Melinda1 aNyúl, László, Gábor uhttps://www.inf.u-szeged.hu/publication/vonalkodok-es-termeszetes-vizualis-azonositok-felismerese-valos-idoben00462nas a2200121 4500008004100000245006700041210006700108300001000175490000700185100002000192700002800212856010000240 2014 eng d00aAutomatikus azonosítás és hitelesítés vizuális kódokkal0 aAutomatikus azonosítás és hitelesítés vizuális kódokkal a40-470 v691 aKatona, Melinda1 aNyúl, László, Gábor uhttps://www.inf.u-szeged.hu/publication/automatikus-azonositas-es-hitelesites-vizualis-kodokkal00537nas a2200121 4500008004100000245007000041210006900111260007000180300000700250100002000257700002800277856011000305 2014 eng d00aFast recognition of natural feature identifiers by a mobile phone0 aFast recognition of natural feature identifiers by a mobile phon aSzegedbInstitute of Informatics, University of SzegedcJune 2014 a261 aKatona, Melinda1 aNyúl, László, Gábor uhttps://www.inf.u-szeged.hu/publication/fast-recognition-of-natural-feature-identifiers-by-a-mobile-phone00585nas a2200157 4500008004100000020002200041245006700063210006500130260003500195300001200230100002000242700002100262700001900283700001900302856010600321 2014 eng d a978-1-941643-24-200aSZTE-NLP: Clinical Text Analysis with Named Entity Recognition0 aSZTENLP Clinical Text Analysis with Named Entity Recognition aDublin, IrelandbACLcAug 2014 a615-6181 aKatona, Melinda1 aFarkas, Richárd1 aNakov, Preslav1 aZesch, Torsten uhttps://www.inf.u-szeged.hu/publication/szte-nlp-clinical-text-analysis-with-named-entity-recognition01550nas a2200169 4500008004100000245007200041210006900113260005000182300001400232520091200246100002001158700002801178700002101206700002301227700001801250856011201268 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
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.
1 aKatona, Melinda1 aNyúl, László, Gábor1 aLuengo, Chris, L1 aBorgefors, Gunilla1 aStrand, Robin uhttps://www.inf.u-szeged.hu/publication/efficient-1d-and-2d-barcode-detection-using-mathematical-morphology00547nas a2200133 4500008004100000245007100041210006900112260003800181300001400219100002000233700002800253700002100281856011100302 2013 eng d00aImproved 1D and 2D barcode detection with morphological operations0 aImproved 1D and 2D barcode detection with morphological operatio aVeszprémbNJSZT-KÉPAFcJan 2013 a309 - 3241 aKatona, Melinda1 aNyúl, László, Gábor1 aCzúni, László uhttps://www.inf.u-szeged.hu/publication/improved-1d-and-2d-barcode-detection-with-morphological-operations02235nas a2200193 4500008004100000020002300041245009400064210006900158260003400227300001400261520150600275100002001781700002801801700002101829700002001850700002001870700001701890856013401907 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 aBarcode 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/publication/a-novel-method-for-accurate-and-efficient-barcode-detection-with-morphological-operations