<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Melinda Katona</style></author><author><style face="normal" font="default" size="100%">László G Nyúl</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Fast recognition of natural feature identifiers by a mobile phone</style></title><secondary-title><style face="normal" font="default" size="100%">Acta Cybernetica</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2015</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">University of Szeged</style></publisher><pub-location><style face="normal" font="default" size="100%">Szeged, Hungary</style></pub-location><volume><style face="normal" font="default" size="100%">22</style></volume><pages><style face="normal" font="default" size="100%">101-116</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">1</style></issue><work-type><style face="normal" font="default" size="100%">Journal article</style></work-type><section><style face="normal" font="default" size="100%">101</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">László Gábor Varga</style></author><author><style face="normal" font="default" size="100%">Melinda Katona</style></author><author><style face="normal" font="default" size="100%">Tamás Grósz</style></author><author><style face="normal" font="default" size="100%">József Dombi</style></author><author><style face="normal" font="default" size="100%">Attila Kovács</style></author><author><style face="normal" font="default" size="100%">Rózsa Dégi</style></author><author><style face="normal" font="default" size="100%">László G Nyúl</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Időskori makula degeneráció kvantitatív jellemzése SD-OCT képek automatikus elemzésével</style></title><secondary-title><style face="normal" font="default" size="100%">A XXVIII. 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Volume of extended abstracts</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">June 2014</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Institute of Informatics, University of Szeged</style></publisher><pub-location><style face="normal" font="default" size="100%">Szeged</style></pub-location><pages><style face="normal" font="default" size="100%">26</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><work-type><style face="normal" font="default" size="100%">Abstract</style></work-type></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Melinda Katona</style></author><author><style face="normal" font="default" size="100%">Richárd Farkas</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Preslav Nakov</style></author><author><style face="normal" font="default" size="100%">Torsten Zesch</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">SZTE-NLP: Clinical Text Analysis with Named Entity Recognition</style></title><secondary-title><style face="normal" font="default" size="100%">The 8th International Workshop on Semantic Evaluation (SemEval 2014)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Aug 2014</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">ACL</style></publisher><pub-location><style face="normal" font="default" size="100%">Dublin, Ireland</style></pub-location><pages><style face="normal" font="default" size="100%">615-618</style></pages><isbn><style face="normal" font="default" size="100%">978-1-941643-24-2</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Melinda Katona</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Chris L Luengo</style></author><author><style face="normal" font="default" size="100%">Gunilla Borgefors</style></author><author><style face="normal" font="default" size="100%">Robin Strand</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Efficient 1D and 2D barcode detection using mathematical morphology</style></title><secondary-title><style face="normal" font="default" size="100%">Mathematical Morphology and Its Applications to Signal and Image Processing</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">May 2013</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Springer-Verlag</style></publisher><pub-location><style face="normal" font="default" size="100%">Berlin; Heidelberg</style></pub-location><pages><style face="normal" font="default" size="100%">464 - 475</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;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.&lt;/p&gt;</style></abstract><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type><notes><style face="normal" font="default" size="100%">doi: 10.1007/978-3-642-38294-9_39</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Melinda Katona</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">László Czúni</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Improved 1D and 2D barcode detection with morphological operations</style></title><secondary-title><style face="normal" font="default" size="100%">A Képfeldolgozók és Alakfelismerők Társaságának konferenciája - KÉPAF 2013</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Jan 2013</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">NJSZT-KÉPAF</style></publisher><pub-location><style face="normal" font="default" size="100%">Veszprém</style></pub-location><pages><style face="normal" font="default" size="100%">309 - 324</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Melinda Katona</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Kokou Yetongnon</style></author><author><style face="normal" font="default" size="100%">Richard Chbeir</style></author><author><style face="normal" font="default" size="100%">Albert Dipanda</style></author><author><style face="normal" font="default" size="100%">Luigi Gallo</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">A novel method for accurate and efficient barcode detection with morphological operations</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the International Conference on Signal Image Technology &amp; Internet Systems (SITIS)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Nov 2012</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pub-location><style face="normal" font="default" size="100%">Naples, Italy</style></pub-location><pages><style face="normal" font="default" size="100%">307 - 314</style></pages><isbn><style face="normal" font="default" size="100%">978-1-4673-5152-2 </style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;div class=&quot;article&quot;&gt;&lt;p&gt;&lt;span class=&quot;snippet&quot;&gt;Barcode&lt;/span&gt; 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 &lt;span class=&quot;snippet&quot;&gt;methods&lt;/span&gt; for &lt;span class=&quot;snippet&quot;&gt;barcode&lt;/span&gt; localization, that are well characterized by accuracy and speed. Particularly, high-speed processing places need automatic &lt;span class=&quot;snippet&quot;&gt;barcode&lt;/span&gt; localization, e.g. conveyor belts, automated production, where missed &lt;span class=&quot;snippet&quot;&gt;detections&lt;/span&gt; cause loss of profit. In this paper, we mainly deal with segmentation of images with 1D &lt;span class=&quot;snippet&quot;&gt;barcode&lt;/span&gt;, but also analyze the &lt;span class=&quot;snippet&quot;&gt;operation&lt;/span&gt; of different &lt;span class=&quot;snippet&quot;&gt;methods&lt;/span&gt; for 2D &lt;span class=&quot;snippet&quot;&gt;barcode&lt;/span&gt; images as well. Our goal is to detect automatically, rapidly and accurately the &lt;span class=&quot;snippet&quot;&gt;barcode&lt;/span&gt; location by the help of extracted features. We compare some published &lt;span class=&quot;snippet&quot;&gt;method&lt;/span&gt; from the literature, which basically rely on the contrast between the background and the shape that represent the code. We also propose a &lt;span class=&quot;snippet&quot;&gt;novel&lt;/span&gt; algorithm, that outperforms the others in both accuracy and efficiency in detecting 1D codes.&lt;/p&gt;&lt;/div&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;</style></abstract><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type><accession-num><style face="normal" font="default" size="100%">13227629</style></accession-num><notes><style face="normal" font="default" size="100%">ScopusID: 84874042343doi: 10.1109/SITIS.2012.53</style></notes></record></records></xml>