@article {2358, title = {Fast recognition of natural feature identifiers by a mobile phone}, journal = {Acta Cybernetica}, volume = {22}, year = {2015}, month = {2015}, pages = {101-116}, publisher = {University of Szeged}, type = {Journal article}, chapter = {101}, address = {Szeged, Hungary}, author = {Melinda Katona and L{\'a}szl{\'o} G Ny{\'u}l} } @conference {2360, title = {Id{\H o}skori makula degener{\'a}ci{\'o} kvantitat{\'\i}v jellemz{\'e}se SD-OCT k{\'e}pek automatikus elemz{\'e}s{\'e}vel}, booktitle = {A XXVIII. Neumann Kollokvium konferencia-kiadv{\'a}nya}, year = {2015}, month = {Nov 2015}, pages = {43-48.}, publisher = {Neumann J{\'a}nos Sz{\'a}m{\'\i}t{\'o}g{\'e}p-tudom{\'a}nyi T{\'a}rsas{\'a}g}, organization = {Neumann J{\'a}nos Sz{\'a}m{\'\i}t{\'o}g{\'e}p-tudom{\'a}nyi T{\'a}rsas{\'a}g}, type = {Conference paper}, address = {Veszpr{\'e}m, Hungary}, author = {L{\'a}szl{\'o} G{\'a}bor Varga and Melinda Katona and Tam{\'a}s Gr{\'o}sz and J{\'o}zsef Dombi and Attila Kov{\'a}cs and R{\'o}zsa D{\'e}gi and L{\'a}szl{\'o} G Ny{\'u}l} } @conference {2096, title = {Vonalk{\'o}dok {\'e}s term{\'e}szetes vizu{\'a}lis azonos{\'\i}t{\'o}k felismer{\'e}se val{\'o}s id{\H o}ben}, booktitle = {K{\'e}pfeldolgoz{\'o}k {\'e}s Alakfelismer{\H o}k T{\'a}rsas{\'a}g{\'a}nak 10. orsz{\'a}gos konferenci{\'a}ja}, year = {2015}, month = {Jan 2015}, pages = {562-577}, type = {Conference paper}, address = {Kecskem{\'e}t, Magyarorsz{\'a}g}, author = {Melinda Katona and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l} } @article {1992, title = {Automatikus azonos{\'\i}t{\'a}s {\'e}s hiteles{\'\i}t{\'e}s vizu{\'a}lis k{\'o}dokkal}, journal = {HIRAD{\'A}STECHNIKA}, volume = {69}, year = {2014}, pages = {40-47}, type = {Journal Article}, author = {Melinda Katona and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l} } @article {1096, title = {Fast recognition of natural feature identifiers by a mobile phone}, year = {2014}, month = {June 2014}, pages = {26}, publisher = {Institute of Informatics, University of Szeged}, type = {Abstract}, address = {Szeged}, author = {Melinda Katona and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l} } @conference {2095, title = {SZTE-NLP: Clinical Text Analysis with Named Entity Recognition}, booktitle = {The 8th International Workshop on Semantic Evaluation (SemEval 2014)}, year = {2014}, month = {Aug 2014}, pages = {615-618}, publisher = {ACL}, organization = {ACL}, type = {Conference paper}, address = {Dublin, Ireland}, isbn = {978-1-941643-24-2}, author = {Melinda Katona and Rich{\'a}rd Farkas}, editor = {Preslav Nakov and Torsten Zesch} } @inbook {1079, title = {Efficient 1D and 2D barcode detection using mathematical morphology}, booktitle = {Mathematical Morphology and Its Applications to Signal and Image Processing}, year = {2013}, note = {doi: 10.1007/978-3-642-38294-9_39}, month = {May 2013}, pages = {464 - 475}, publisher = {Springer-Verlag}, organization = {Springer-Verlag}, type = {Conference paper}, address = {Berlin; Heidelberg}, abstract = {
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.
}, author = {Melinda Katona and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l}, editor = {Chris L Luengo and Gunilla Borgefors and Robin Strand} } @conference {1067, title = {Improved 1D and 2D barcode detection with morphological operations}, booktitle = {A K{\'e}pfeldolgoz{\'o}k {\'e}s Alakfelismer{\H o}k T{\'a}rsas{\'a}g{\'a}nak konferenci{\'a}ja - K{\'E}PAF 2013}, year = {2013}, month = {Jan 2013}, pages = {309 - 324}, publisher = {NJSZT-K{\'E}PAF}, organization = {NJSZT-K{\'E}PAF}, type = {Conference paper}, address = {Veszpr{\'e}m}, author = {Melinda Katona and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l}, editor = {L{\'a}szl{\'o} Cz{\'u}ni} } @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.
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}, 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} }