Title :
Precisely Locating Multi-QR Code Based on Straight Line Fitting
Author :
Huang, Qiang ; Li, Ming ; Ji, Zhen
Author_Institution :
Shenzhen City Key Lab. of Embedded Syst. Design, Shenzhen Univ., Shenzhen, China
Abstract :
QR code as a code which can be recognized quickly and in all directions, has been widely used in every walk of life. This paper proposed an approach to exactly locate the QR code, which based on the frame points of the QR code finder pattern to fit line in order to get the four frame lines of the QR code. Compared with commonly used HOUGH transform, our approach reduces a lot of memory and time consumption. Experiment validates that the proposed method can precisely locate multi-QR codes in complicate background.
Keywords :
Hough transforms; image coding; image recognition; HOUGH transform; QR code finder pattern; straight line fitting; Cities and towns; Computer science; Educational institutions; Electronic mail; Embedded systems; Laboratories; Software engineering;
Conference_Titel :
Pattern Recognition (CCPR), 2010 Chinese Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-7209-3
Electronic_ISBN :
978-1-4244-7210-9
DOI :
10.1109/CCPR.2010.5659163
