TY - JOUR T1 - Fast recognition of natural feature identifiers by a mobile phone JF - Acta Cybernetica Y1 - 2015 A1 - Melinda Katona A1 - László G Nyúl PB - University of Szeged CY - Szeged, Hungary VL - 22 IS - 1 ER - TY - CONF T1 - Időskori makula degeneráció kvantitatív jellemzése SD-OCT képek automatikus elemzésével T2 - A XXVIII. Neumann Kollokvium konferencia-kiadványa Y1 - 2015 A1 - László Gábor Varga A1 - Melinda Katona A1 - Tamás Grósz A1 - József Dombi A1 - Attila Kovács A1 - Rózsa Dégi A1 - László G Nyúl JF - A XXVIII. Neumann Kollokvium konferencia-kiadványa PB - Neumann János Számítógép-tudományi Társaság CY - Veszprém, Hungary ER - TY - CONF T1 - Vonalkódok és természetes vizuális azonosítók felismerése valós időben T2 - Képfeldolgozók és Alakfelismerők Társaságának 10. országos konferenciája Y1 - 2015 A1 - Melinda Katona A1 - László Gábor Nyúl JF - Képfeldolgozók és Alakfelismerők Társaságának 10. országos konferenciája CY - Kecskemét, Magyarország ER - TY - JOUR T1 - Automatikus azonosítás és hitelesítés vizuális kódokkal JF - HIRADÁSTECHNIKA Y1 - 2014 A1 - Melinda Katona A1 - László Gábor Nyúl VL - 69 IS - 1 ER - TY - Generic T1 - Fast recognition of natural feature identifiers by a mobile phone Y1 - 2014 A1 - Melinda Katona A1 - László Gábor Nyúl JF - Conference of PhD Students in Computer Science. Volume of extended abstracts PB - Institute of Informatics, University of Szeged CY - Szeged ER - TY - CONF T1 - SZTE-NLP: Clinical Text Analysis with Named Entity Recognition T2 - The 8th International Workshop on Semantic Evaluation (SemEval 2014) Y1 - 2014 A1 - Melinda Katona A1 - Richárd Farkas ED - Preslav Nakov ED - Torsten Zesch JF - The 8th International Workshop on Semantic Evaluation (SemEval 2014) PB - ACL CY - Dublin, Ireland SN - 978-1-941643-24-2 ER - TY - CHAP T1 - Efficient 1D and 2D barcode detection using mathematical morphology T2 - Mathematical Morphology and Its Applications to Signal and Image Processing Y1 - 2013 A1 - Melinda Katona A1 - László Gábor Nyúl ED - Chris L Luengo ED - Gunilla Borgefors ED - Robin Strand AB -

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.

JF - Mathematical Morphology and Its Applications to Signal and Image Processing PB - Springer-Verlag CY - Berlin; Heidelberg N1 - doi: 10.1007/978-3-642-38294-9_39 ER - TY - CONF T1 - Improved 1D and 2D barcode detection with morphological operations T2 - A Képfeldolgozók és Alakfelismerők Társaságának konferenciája - KÉPAF 2013 Y1 - 2013 A1 - Melinda Katona A1 - László Gábor Nyúl ED - László Czúni JF - A Képfeldolgozók és Alakfelismerők Társaságának konferenciája - KÉPAF 2013 PB - NJSZT-KÉPAF CY - Veszprém ER - TY - CONF T1 - A novel method for accurate and efficient barcode detection with morphological operations T2 - Proceedings of the International Conference on Signal Image Technology & Internet Systems (SITIS) Y1 - 2012 A1 - Melinda Katona A1 - László Gábor Nyúl ED - Kokou Yetongnon ED - Richard Chbeir ED - Albert Dipanda ED - Luigi Gallo AB -

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.

 

JF - Proceedings of the International Conference on Signal Image Technology & Internet Systems (SITIS) PB - IEEE CY - Naples, Italy SN - 978-1-4673-5152-2 N1 - ScopusID: 84874042343doi: 10.1109/SITIS.2012.53 ER -