%0 Journal Article %J Acta Cybernetica %D 2015 %T Fast recognition of natural feature identifiers by a mobile phone %A Melinda Katona %A László G Nyúl %B Acta Cybernetica %I University of Szeged %C Szeged, Hungary %V 22 %P 101-116 %8 2015 %G eng %N 1 %9 Journal article %& 101 %0 Conference Paper %B A XXVIII. Neumann Kollokvium konferencia-kiadványa %D 2015 %T Időskori makula degeneráció kvantitatív jellemzése SD-OCT képek automatikus elemzésével %A László Gábor Varga %A Melinda Katona %A Tamás Grósz %A József Dombi %A Attila Kovács %A Rózsa Dégi %A László G Nyúl %B A XXVIII. Neumann Kollokvium konferencia-kiadványa %I Neumann János Számítógép-tudományi Társaság %C Veszprém, Hungary %P 43-48. %8 Nov 2015 %9 Conference paper %0 Conference Paper %B Képfeldolgozók és Alakfelismerők Társaságának 10. országos konferenciája %D 2015 %T Vonalkódok és természetes vizuális azonosítók felismerése valós időben %A Melinda Katona %A László Gábor Nyúl %B Képfeldolgozók és Alakfelismerők Társaságának 10. országos konferenciája %C Kecskemét, Magyarország %P 562-577 %8 Jan 2015 %G hun %9 Conference paper %0 Journal Article %J HIRADÁSTECHNIKA %D 2014 %T Automatikus azonosítás és hitelesítés vizuális kódokkal %A Melinda Katona %A László Gábor Nyúl %B HIRADÁSTECHNIKA %V 69 %P 40-47 %G eng %N 1 %9 Journal Article %) hun %0 Generic %D 2014 %T Fast recognition of natural feature identifiers by a mobile phone %A Melinda Katona %A László Gábor Nyúl %B Conference of PhD Students in Computer Science. Volume of extended abstracts %I Institute of Informatics, University of Szeged %C Szeged %P 26 %8 June 2014 %G eng %9 Abstract %0 Conference Paper %B The 8th International Workshop on Semantic Evaluation (SemEval 2014) %D 2014 %T SZTE-NLP: Clinical Text Analysis with Named Entity Recognition %A Melinda Katona %A Richárd Farkas %E Preslav Nakov %E Torsten Zesch %B The 8th International Workshop on Semantic Evaluation (SemEval 2014) %I ACL %C Dublin, Ireland %P 615-618 %8 Aug 2014 %@ 978-1-941643-24-2 %G eng %9 Conference paper %0 Book Section %B Mathematical Morphology and Its Applications to Signal and Image Processing %D 2013 %T Efficient 1D and 2D barcode detection using mathematical morphology %A Melinda Katona %A László Gábor Nyúl %E Chris L Luengo %E Gunilla Borgefors %E Robin Strand %X

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.

%B Mathematical Morphology and Its Applications to Signal and Image Processing %I Springer-Verlag %C Berlin; Heidelberg %P 464 - 475 %8 May 2013 %G eng %9 Conference paper %0 Conference Paper %B A Képfeldolgozók és Alakfelismerők Társaságának konferenciája - KÉPAF 2013 %D 2013 %T Improved 1D and 2D barcode detection with morphological operations %A Melinda Katona %A László Gábor Nyúl %E László Czúni %B A Képfeldolgozók és Alakfelismerők Társaságának konferenciája - KÉPAF 2013 %I NJSZT-KÉPAF %C Veszprém %P 309 - 324 %8 Jan 2013 %G eng %9 Conference paper %0 Conference Paper %B Proceedings of the International Conference on Signal Image Technology & Internet Systems (SITIS) %D 2012 %T A novel method for accurate and efficient barcode detection with morphological operations %A Melinda Katona %A László Gábor Nyúl %E Kokou Yetongnon %E Richard Chbeir %E Albert Dipanda %E Luigi Gallo %X

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.

 

%B Proceedings of the International Conference on Signal Image Technology & Internet Systems (SITIS) %I IEEE %C Naples, Italy %P 307 - 314 %8 Nov 2012 %@ 978-1-4673-5152-2 %G eng %9 Conference paper %M 13227629 %R 10.1109/SITIS.2012.53