%0 Journal Article %J Acta Cybernetica %D 2015 %T Improved QR Code Localization Using Boosted Cascade of Weak Classifiers %A Péter Bodnár %A László G Nyúl %B Acta Cybernetica %I University of Szeged %C Szeged, Hungary %V 22 %P 21-33 %8 2015 %G eng %N 1 %9 Journal article %& 21 %0 Conference Paper %B International Conference on Computer Vision Theory and Applications (VISAPP) %D 2015 %T Localization of Visual Codes using Fuzzy Inference System %A Péter Bodnár %A Nyúl, László Gábor %E J Braz %E S Battiato %E F Imai %B International Conference on Computer Vision Theory and Applications (VISAPP) %I SciTePress %C Berlin, Germany %P 345-352 %8 March 2015 %G eng %9 Conference paper %0 Conference Paper %B Képfeldolgozók és Alakfelismerők Társaságának 10. országos konferenciája %D 2015 %T QR kód lokalizáció kaszkádolt gyenge osztályozók használatával %A Péter Bodnár %A László Gábor Nyúl %B Képfeldolgozók és Alakfelismerők Társaságának 10. országos konferenciája %C Kecskemét, Magyarország %P 712-721 %8 Jan 2015 %G hun %9 Conference paper %0 Conference Paper %B Képfeldolgozók és Alakfelismerők Társaságának 10. országos konferenciája. %D 2015 %T Vizuális kódok lokalizációja mély egyenirányított neurális háló használatával %A Péter Bodnár %A László Gábor Nyúl %A Tamás Grósz %A László Tóth %B Képfeldolgozók és Alakfelismerők Társaságának 10. országos konferenciája. %C Kecskemét, Magyarország %P 546-561 %8 Jan 2015 %G hun %9 Conference paper %0 Book Section %B International Conference on Informatics in Control, Automation and Robotics (ICINCO) %D 2014 %T Localization of Visual Codes in the DCT Domain Using Deep Rectier Neural Networks %A Péter Bodnár %A Tamás Grósz %A László Tóth %A László Gábor Nyúl %E Joaquim Filipe %E Oleg Gusikhin %E Kurosh Madani %E Jurek Sasiadek %B International Conference on Informatics in Control, Automation and Robotics (ICINCO) %I SCITEPRESS %C Setúbal %8 2014 %G eng %9 Conference paper %0 Generic %D 2014 %T QR Code Localization Using Boosted Cascade of Weak Classifiers %A Péter Bodnár %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 6 - 7 %8 June 2014 %G eng %9 Abstract %0 Book Section %B Image Analysis and Recognition (ICIAR) %D 2014 %T QR Code Localization Using Boosted Cascade of Weak Classifiers %A Péter Bodnár %A László Gábor Nyúl %E Mohamed Kamel %E Aurélio Campilho %X

Usage of computer-readable visual codes became common in oureveryday life at industrial environments and private use. The reading process of visual codes consists of two steps: localization and data decoding. Unsupervised localization is desirable at industrial setups and for visually impaired people. This paper examines localization efficiency of cascade classifiers using Haar-like features, Local Binary Patterns and Histograms of Oriented Gradients, trained for the finder patterns of QR codes and for the whole code region as well, and proposes improvements in post-processing.

%B Image Analysis and Recognition (ICIAR) %S Lecture Notes In Computer Science %I Springer-Verlag %C Vilamura, Portugal %8 Oct 2014 %G eng %9 Conference paper %0 Book Section %B International Workshop on Machine Learning for Signal Processing %D 2014 %T QR code localization using deep neural networks %A Tamás Grósz %A Péter Bodnár %A László Tóth %A László Gábor Nyúl %E Mboup Mamadou %E Adali Tülay %E Eric Moreau %E Jan Larsen %E Kevin Guelton %B International Workshop on Machine Learning for Signal Processing %I IEEE %C Sep 2014, Reims, France %8 Sep 2014 %G eng %9 Conference paper %0 Journal Article %J ACTA CYBERNETICA-SZEGED %D 2013 %T Barcode detection using local analysis, mathematical morphology, and clustering %A Péter Bodnár %A László Gábor Nyúl %X

Barcode detection is required in a wide range of real-lifeapplications. Imaging conditions and techniques vary considerably and each application has its own requirements for detection speed and accuracy. In our earlier works we built barcode detectors using morphological operations and uniform partitioning with several approaches and showed their behaviour on a set of test images. In this work, we extend those ideas with clustering, contrast measuring, distance transformation and probabilistic Hough transformation.

%B ACTA CYBERNETICA-SZEGED %V 21 %P 21 - 35 %8 2013 %@ 0324-721X %G eng %N 1 %9 Journal article %! ACTA CYBERN-SZEGED %0 Conference Paper %B IASTED International Conference on Computer Graphics and Imaging (CGIM) %D 2013 %T Barcode detection with uniform partitioning and distance transformation %A Péter Bodnár %A László Gábor Nyúl %E L Linsen %X

Barcode detection is required in a wide range of real-lifeapplications. Imaging conditions and techniques vary considerably and each application has its own requirements for detection speed and accuracy. In our earlier works we used uniform partitioning with several approaches for detection of various types of 1D and 2D barcodes and showed their behaviour on a set of test images. In this work, we extend the partitioning idea and replace scan-line based methods with distance transformation to improve accuracy.

%B IASTED International Conference on Computer Graphics and Imaging (CGIM) %I IASTED - Acta Press %C Innsbruck, Austria %P 48 - 53 %8 Feb 2013 %G eng %U http://www.actapress.com/PaperInfo.aspx?paperId=454988 %9 Conference paper %R 10.2316/P.2013.797-022 %0 Book Section %B Image Analysis and Recognition (ICIAR) %D 2013 %T A Novel Method for Barcode Localization in Image Domain %A Péter Bodnár %A László Gábor Nyúl %E Mohamed Kamel %E Aurélio Campilho %X

Barcode localization is an essential step of the barcode readingprocess. For industrial environments, having high-resolution cameras and eventful scenarios, fast and reliable localization is crucial. Images acquired in those setups have limited parameters, however, they vary at each application. In earlier works we have already presented various barcode features to track for localization process. In this paper, we present a novel approach for fast barcode localization using a limited set of pixels in image domain.

%B Image Analysis and Recognition (ICIAR) %S Lecture Notes in Computer Science %I Springer-Verlag %C Berlin %P 189 - 196 %8 June 2013 %G eng %9 Conference paper %R 10.1007/978-3-642-39094-4_22 %0 Conference Paper %B A Képfeldolgozók és Alakfelismerők Társaságának konferenciája - KÉPAF 2013 %D 2013 %T Vizuális kódok lokalizálásának javítása egyszerű jellemzők kombinációjával %A Péter Bodnár %A László Gábor Nyúl %E László Czúni %B A Képfeldolgozók és Alakfelismerők Társaságának konferenciája - KÉPAF 2013 %I NJSZT-KÉPAF %C Veszprém %P 483 - 495 %8 Jan 2013 %G hun %9 Conference paper %0 Conference Paper %B Proceedings of the IASTED International Conference on Signal Processing, Pattern Recognition, and Applications (SPPRA) %D 2012 %T Barcode Detection with Morphological Operations and Clustering %A Péter Bodnár %A László Gábor Nyúl %E M Petrou %E A D Sappa %E A G Triantafyllidis %X

Barcode detection has many applications and detection methods. Each application has its own requirements for speed and detection accuracy. Fine-tuning, upgrading or combining existing methods gives fast and robust solutions for detection. Modern computer vision techniques help the whole process to be fully automated. Different detection approaches are examined in this paper, and new methods are introduced.

%B Proceedings of the IASTED International Conference on Signal Processing, Pattern Recognition, and Applications (SPPRA) %I IASTED - Acta Press %C Crete, Greek %P 51 - 57 %8 June 2012 %G eng %9 Conference paper %R 10.2316/P.2012.778-014 %0 Generic %D 2012 %T Barcode Detection with Uniform Partitioning and Morphological Operations %A Péter Bodnár %A László Gábor Nyúl %B Conference of PhD students in computer science. Volume of Extended Abstracts. %I University of Szeged, Institute of Informatics %C Szeged %P 4 - 5 %8 June 2012 %G eng %9 Abstract %0 Conference Paper %B Proceedings of the International Conference on Signal Image Technology & Internet Systems (SITIS) %D 2012 %T Improving barcode detection with combination of simple detectors %A Péter Bodnár %A László Gábor Nyúl %E Kokou Yetongnon %E Richard Chbeir %E Albert Dipanda %E Luigi Gallo %X

Barcode detection is required in a wide range of real-life applications. Imaging conditions and techniques vary considerably and each application has its own requirements for detection speed and accuracy. In our earlier works we built barcode detectors using morphological operations and uniform partitioning with several approaches and showed their behaviour on a set of test images. In this work, we examine ensemble efficiency of those simple detectors using various aggregation methods. Using a combination of several simple features localization performance improves significantly.

 

%B Proceedings of the International Conference on Signal Image Technology & Internet Systems (SITIS) %I IEEE %C Naples, Italy %P 300 - 306 %8 Nov 2012 %G eng %9 Conference paper %M 13227628 %R 10.1109/SITIS.2012.52