Improvement of QR Code Recognition Based on Pillbox Filter Analysis
AbstractThe objective of this paper is to perform the innovation design for improving the recognition of a captured QR code image with blur through the Pillbox filter analysis. QR code images can be captured by digital video cameras. Many factors contribute to QR code decoding failure, such as the low quality of the image. Focus is an important factor that affects the quality of the image. This study discusses the out-of-focus QR code image and aims to improve the recognition of the contents in the QR code image. Many studies have used the pillbox filter (circular averaging filter) method to simulate an out-of-focus image. This method is also used in this investigation to improve the recognition of a captured QR code image. A blurred QR code image is separated into nine levels. In the experiment, four different quantitative approaches are used to reconstruct and decode an out-of-focus QR code image. These nine reconstructed QR code images using methods are then compared. The final experimental results indicate improvements in identification.
C. W. Chiang, “The Application of QR Code to Indoor Cross-Floor Automatic Route Planning,” Master Thesis, Dept. Computer Science and Engineering, Tatung University, 2009.
J. F. Weng, “The Study of RSA Algorithm on QR CODE Design, Master Thesis,” Dept. Computer Science and Engineering, Tatung University, 2008.
C. H. Lin, F. Y. Tsai, W. L. Tsai, H. W. Wen, and M. L. Hu., “The feasibility of QR-code prescription in Taiwan,” Journal of Clinical Pharmacy and Therapeutics, May 2012.
C. C. Lin, “A General Scheme for QR-code Image Denoising on the Camera Phone,” Master Thesis, Dept. Communication Engineering, National Taiwan University, 2009.
Espejel-Trujillo A., Castillo-Camacho I., Nakano-Miyatake M., Perez-Meana H., “Identity Document Authentication Based on VSS and QR Codes,” Procedia Technology, vol. 3, pp. 241-250, 2012.
F. C. Chen, “Designing Personalized Mobile Shopping System for Cell Phones by QR Code,” Master Thesis, Dept. Computer Science and Engineering, Tatung University, 2007.
J. F. Weng, “The Study of RSA Algorithm on QR Code Design, Master Thesis,” Dept. Computer Science and Engineering, Tatung University, 2008.
W. H. Lee, “A Novel User Authentication Scheme Based on QR-Code, Master Thesis,” Dept. Applied Informatics and Multimedia, Asia University, Taiwan, 2010.
C. Y. Lai, “Extracting QR CODE from a on-uniform Background Image in Embedded Mobile Phones,” Master Thesis, Dept. Networking and Multimedia, National Taiwan University, 2007.
Y. H. Chang, C. H. Chu, M. S. Chen., “A General Scheme for Extracting QR CODE from a non-uniform background in Camera Phones and Applications,” Ninth IEEE International Symposium on Multimedia, 2007 pp. 126-128.
Y. L. Pan, “Extracting 2D Barcodes from Images with Spatial Distortion,” Master Thesis, Dept. Networking and Multimedia, National Taiwan University, 2008.
Tor Helleseth, “Legendre sums and codes related to QR Codes,” Discrete Applied Mathematics, vol. 35, pp. 107-113, January 1992.
ISO/IEC 18004:2000. Information technology-Automatic identification and data capture techniques-Bar code Symbology-QR CODE, 2000.
J. Biemond, R. L. Lagendijk, and R. M. Mersereau, “Iterative methods for image deblurring,” Proc. IEEE, vol. 78, May 1990, pp. 856-883,.
C. H. Chiu, “Automatic Ringing Artifact Detection in Restoring Blurred Face Images,” Master Thesis, Dept. Applied Electronics Technology, National Taiwan Normal University, 2009.
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