Improved Binarization Method of QR Code Mobile Terminal

Shu Fang Yuan; Zhen Zhang

doi:10.4028/www.scientific.net/AMM.518.374

Paper Titles

Sustainable and Inclusive Development Products Applied to Form Engineers in the Citizenship
p.329

Sustainable Product Design: The Development of a Conceptual Model
p.335

New Application of Selection of Customized Lens Fitting in Optometry Services
p.343

Monitoring Nonlinear Batch Process Using Statis-Based Method
p.350

Empirical Likelihood Testing for Longitudinal Varying Coefficient Models
p.356

Research on Virtual Experiment Teaching Oriented to Innovative Ability Cultivation in Mechanical Engineering Curriculums
p.361

Product Development Model Oriented for the R&D Projects of the Brazilian Electricity Sector
p.366

Improved Binarization Method of QR Code Mobile Terminal
p.374

Design of the Electronic Waste Recycle Network System Based on GIS
p.381

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 518Improved Binarization Method of QR Code Mobile...

Improved Binarization Method of QR Code Mobile Terminal

Abstract:

This optimized binarization algorithms for mobile terminals QR code. Bimodal histogram method, OTSU method and homomorphic filtering algorithm were combined to improve multi-threshold method. Experimental results showed that the method to different light image of the environment was able to get a better QR code binarized image, greatly enhancing the success rate of the QR code recognition.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 518)

Pages:

374-380

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.518.374

Citation:

Cite this paper

Online since:

February 2014

Authors:

Shu Fang Yuan*, Zhen Zhang

Keywords:

Mobile Terminal, Multi-Threshold Method, QR Code

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Issued by the General Administration of State Quality and Technical Supervision. The national standard of the People's Republic of China-Quick response code[S]. Standard Press. (2001).

Google Scholar

[2] Andreas E Savak is. A daptive Docum Image Thresholding Using Foreground and Background Clustering[C]. International Conference on Image Processing (ICIP), 1998 785-789.

Google Scholar

[3] Akio Shio Adapyive Document Image Thresholding Using Foreground and Background Clustering[C]. Conference on Computer Vision and Pattem Recognition, 1989. 632-637.

Google Scholar

[4] Otsu N. A threshold selection method from gray-level histo-grams [J]. IEEE Transactions Oil Systems, Man and Cybernetics, 1979, 9 (1): 62-66.

DOI: 10.1109/tsmc.1979.4310076

Google Scholar

[5] YANG Jiali, GAOMeifeng. Pretreatment method of quick response code [J]. Computer Engineering, 2011, 37(2): 218-220(in Chinese).

Google Scholar

[6] ZHANG Lixiang, ZHAN Xiaosi, Fingerprint image binarization algorithm based on information entropy [J]. Computer Systems &Applications, 2010, 19 (6): 148-152.

Google Scholar

[7] Keng Tan, Chai D. Designing a color barcode for mobile applications [J]. IEEE Pervasive Computing, 2012, 11(2): 50-55.

DOI: 10.1109/mprv.2010.67

Google Scholar

[8] TRIER O D, JAIN A K. Goal-Directed evaluation of binarization methods [J]. IEEE Trans on PAMI, 1995, 17(12): 1191-1201.

DOI: 10.1109/34.476511

Google Scholar

[9] Lu Yang, Gao Huimin. Binarization Research about Uneven Illunination of QR Code [J]. Journal of Taiyuan University of Science and Technology, 2012, 05: 396-400.

Google Scholar