DocumentCode
3005143
Title
Research on Binarization of QR Code Image
Author
Zhou, Jiejing ; Liu, Yunfei ; Li, Peng
Author_Institution
Coll. of Inf. Sci. & Technol., Nanjing Forestry Univ., Nanjing, China
fYear
2010
fDate
29-31 Oct. 2010
Firstpage
1
Lastpage
4
Abstract
In this paper, a new QR code binarization method is presented according to the QR code characteristic to improve the accuracy of QR code decoding in mobile image processing. The Sauvola´s thresholding algorithm is modified to solve QR code image binarization which is the threshold decision in the uneven light condition. Experiments show that the proposed algorithm has better correctness of recognition compared with others.
Keywords
image coding; image segmentation; QR code image binarization; Sauvola thresholding algorithm; mobile image processing; quick response code; threshold decision; Bridges; Decoding; Entropy; Histograms; Libraries; Mobile handsets; Pixel;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Technology (ICMT), 2010 International Conference on
Conference_Location
Ningbo
Print_ISBN
978-1-4244-7871-2
Type
conf
DOI
10.1109/ICMULT.2010.5631155
Filename
5631155
Link To Document