Title :
A binarization method of quick response code image
Author :
Xiong, Zou ; Cuiqun, He ; Guodong, Liu ; Zhijun, Liang
Author_Institution :
Key Lab. of Photoelectron & Commun., Jiangxi Sci. & Technol. Normal Univ., Nanchang, China
Abstract :
A QR code picture is converted to the binary image which can be identified. Nonuniform illumination and reflection would inevitablly effect the picture, and the image would present the error area which is white or black in the processing of global binarization while pseudo-boundary would appear in the processing of local binarization,. A Nested local binarization method is proposed, which avoids to generate the pseudo-boundary and improves accuracy. The experiments show that the new bianarization method is efficiency and accuracy in improving the QR code recognition significantly.
Keywords :
image coding; QR code picture; binarization method; binary image; local binarization; nonuniform illumination; quick response code image; Bit error rate; Histograms; Lighting; Pixel; Reflection; Signal processing; Signal processing algorithms;
Conference_Titel :
Signal Processing Systems (ICSPS), 2010 2nd International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-6892-8
Electronic_ISBN :
978-1-4244-6893-5
DOI :
10.1109/ICSPS.2010.5555800