Identification of blur parameters from motion blurred images
Graphical Models and Image Processing
CyberCode: designing augmented reality environments with visual tags
DARE '00 Proceedings of DARE 2000 on Designing augmented reality environments
Digital Image Processing
Barcode Readers using the Camera Device in Mobile Phones
CW '04 Proceedings of the 2004 International Conference on Cyberworlds
Active CyberCode: a directly controllable 2D code
CHI '06 Extended Abstracts on Human Factors in Computing Systems
Designing an architecture for delivering mobile information services to the rural developing world
Proceedings of the 15th international conference on World Wide Web
Identification of parameters and restoration of motion blurred images
Proceedings of the 2006 ACM symposium on Applied computing
Securing interactive sessions using mobile device through visual channel and visual inspection
Proceedings of the 26th Annual Computer Security Applications Conference
"ClearPlate" for capturing printed information: a scanner and viewfinder in one optical unit
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Fast Component-Based QR Code Detection in Arbitrarily Acquired Images
Journal of Mathematical Imaging and Vision
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With the ubiquitous of cellular phones, mobile applications with 2D barcodes have drawn a lot of attentions in recent years. However, the previous works for extracting 2D barcodes from an image do not consider the distortion resulted from camera shake. Moreover, the previous works for extracting 2D barcodes from an image do not take a complex background into account. In this paper, therefore, we propose an efficient and effective algorithm to extract 2D barcode from a complex background in a camera-shaken image. Compared with previous approaches, our algorithm outperforms in not only smaller running time but also higher accuracy of the barcode recognition.