TY - JOUR T1 - Improved QR Code Localization Using Boosted Cascade of Weak Classifiers JF - Acta Cybernetica Y1 - 2015 A1 - Péter Bodnár A1 - László G Nyúl PB - University of Szeged CY - Szeged, Hungary VL - 22 IS - 1 ER - TY - CONF T1 - Localization of Visual Codes using Fuzzy Inference System T2 - International Conference on Computer Vision Theory and Applications (VISAPP) Y1 - 2015 A1 - Péter Bodnár A1 - Nyúl, László Gábor ED - J Braz ED - S Battiato ED - F Imai JF - International Conference on Computer Vision Theory and Applications (VISAPP) PB - SciTePress CY - Berlin, Germany ER - TY - CONF T1 - QR kód lokalizáció kaszkádolt gyenge osztályozók használatával T2 - Képfeldolgozók és Alakfelismerők Társaságának 10. országos konferenciája Y1 - 2015 A1 - Péter Bodnár A1 - László Gábor Nyúl JF - Képfeldolgozók és Alakfelismerők Társaságának 10. országos konferenciája CY - Kecskemét, Magyarország ER - TY - CONF T1 - Vizuális kódok lokalizációja mély egyenirányított neurális háló használatával T2 - Képfeldolgozók és Alakfelismerők Társaságának 10. országos konferenciája. Y1 - 2015 A1 - Péter Bodnár A1 - László Gábor Nyúl A1 - Tamás Grósz A1 - László Tóth JF - Képfeldolgozók és Alakfelismerők Társaságának 10. országos konferenciája. CY - Kecskemét, Magyarország ER - TY - CHAP T1 - Localization of Visual Codes in the DCT Domain Using Deep Rectier Neural Networks T2 - International Conference on Informatics in Control, Automation and Robotics (ICINCO) Y1 - 2014 A1 - Péter Bodnár A1 - Tamás Grósz A1 - László Tóth A1 - László Gábor Nyúl ED - Joaquim Filipe ED - Oleg Gusikhin ED - Kurosh Madani ED - Jurek Sasiadek JF - International Conference on Informatics in Control, Automation and Robotics (ICINCO) PB - SCITEPRESS CY - Setúbal N1 - Art. No.: 6Közlésre elfogadva ER - TY - Generic T1 - QR Code Localization Using Boosted Cascade of Weak Classifiers Y1 - 2014 A1 - Péter Bodnár 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 - CHAP T1 - QR Code Localization Using Boosted Cascade of Weak Classifiers T2 - Image Analysis and Recognition (ICIAR) Y1 - 2014 A1 - Péter Bodnár A1 - László Gábor Nyúl ED - Mohamed Kamel ED - Aurélio Campilho AB -

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.

JF - Image Analysis and Recognition (ICIAR) T3 - Lecture Notes In Computer Science PB - Springer-Verlag CY - Vilamura, Portugal N1 - Art. No.: 225Accepted for publication ER - TY - CHAP T1 - QR code localization using deep neural networks T2 - International Workshop on Machine Learning for Signal Processing Y1 - 2014 A1 - Tamás Grósz A1 - Péter Bodnár A1 - László Tóth A1 - László Gábor Nyúl ED - Mboup Mamadou ED - Adali Tülay ED - Eric Moreau ED - Jan Larsen ED - Kevin Guelton JF - International Workshop on Machine Learning for Signal Processing PB - IEEE CY - Sep 2014, Reims, France N1 - Art. No.: 43Accepted for publication#Könyv Kiadás helye ismeretlen ER - TY - JOUR T1 - Barcode detection using local analysis, mathematical morphology, and clustering JF - ACTA CYBERNETICA-SZEGED Y1 - 2013 A1 - Péter Bodnár A1 - László Gábor Nyúl AB -

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.

VL - 21 SN - 0324-721X IS - 1 JO - ACTA CYBERN-SZEGED ER - TY - CONF T1 - Barcode detection with uniform partitioning and distance transformation T2 - IASTED International Conference on Computer Graphics and Imaging (CGIM) Y1 - 2013 A1 - Péter Bodnár A1 - László Gábor Nyúl ED - L Linsen AB -

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.

JF - IASTED International Conference on Computer Graphics and Imaging (CGIM) PB - IASTED - Acta Press CY - Innsbruck, Austria UR - http://www.actapress.com/PaperInfo.aspx?paperId=454988 N1 - doi: 10.2316/P.2013.797-022 ER - TY - CHAP T1 - A Novel Method for Barcode Localization in Image Domain T2 - Image Analysis and Recognition (ICIAR) Y1 - 2013 A1 - Péter Bodnár A1 - László Gábor Nyúl ED - Mohamed Kamel ED - Aurélio Campilho AB -

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.

JF - Image Analysis and Recognition (ICIAR) T3 - Lecture Notes in Computer Science PB - Springer-Verlag CY - Berlin N1 - doi: 10.1007/978-3-642-39094-4_22 ER - TY - CONF T1 - Vizuális kódok lokalizálásának javítása egyszerű jellemzők kombinációjával T2 - A Képfeldolgozók és Alakfelismerők Társaságának konferenciája - KÉPAF 2013 Y1 - 2013 A1 - Péter Bodnár 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 - Barcode Detection with Morphological Operations and Clustering T2 - Proceedings of the IASTED International Conference on Signal Processing, Pattern Recognition, and Applications (SPPRA) Y1 - 2012 A1 - Péter Bodnár A1 - László Gábor Nyúl ED - M Petrou ED - A D Sappa ED - A G Triantafyllidis AB -

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.

JF - Proceedings of the IASTED International Conference on Signal Processing, Pattern Recognition, and Applications (SPPRA) PB - IASTED - Acta Press CY - Crete, Greek N1 - ScopusID: 84864778306doi: 10.2316/P.2012.778-014 ER - TY - Generic T1 - Barcode Detection with Uniform Partitioning and Morphological Operations Y1 - 2012 A1 - Péter Bodnár A1 - László Gábor Nyúl JF - Conference of PhD students in computer science. Volume of Extended Abstracts. PB - University of Szeged, Institute of Informatics CY - Szeged ER - TY - CONF T1 - Improving barcode detection with combination of simple detectors T2 - Proceedings of the International Conference on Signal Image Technology & Internet Systems (SITIS) Y1 - 2012 A1 - Péter Bodnár A1 - László Gábor Nyúl ED - Kokou Yetongnon ED - Richard Chbeir ED - Albert Dipanda ED - Luigi Gallo AB -

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.

 

JF - Proceedings of the International Conference on Signal Image Technology & Internet Systems (SITIS) PB - IEEE CY - Naples, Italy N1 - ScopusID: 84874080233doi: 10.1109/SITIS.2012.52 ER -