Title :
QR Code detection using parallel lines
Author :
Klimek, Gabriel ; Vamossy, Zoltan
Author_Institution :
Inst. of Software Technol., Obuda Univ., Budapest, Hungary
Abstract :
Several basic techniques are known for QR Code detection in digital images. This paper presents an approach that utilizes a special line parameterization, along with a variant of the Hough-transform, called PClines. The premised parameterization uses a parallel coordinate system, which allows faster accumulation than the slope-intercept method used by the basic Hough-transform, due to simpler computation. The presented technique can be easily adapted to any kind of matrix code. Mathematical and algorithmic foundations of this approach are presented, along with an implementation on Microsoft´s .NET framework. Test results are also presented, emphasizing the effect of different parameters on the overall detection rate. These results are then compared to other implementations using the same PClines technique.
Keywords :
Hough transforms; image coding; matrix algebra; network operating systems; .NET framework; Hough transform; PClines; QR code detection; algorithmic foundations; digital images; mathematical foundations; matrix code; parallel coordinate system; parallel lines; slope-intercept method; special line parameterization; Computational intelligence; Digital images; ISO standards; Image edge detection; Informatics; Mathematical model; Measurement;
Conference_Titel :
Computational Intelligence and Informatics (CINTI), 2013 IEEE 14th International Symposium on
Conference_Location :
Budapest
Print_ISBN :
978-1-4799-0194-4
DOI :
10.1109/CINTI.2013.6705244