Modelling of Camera Phone Capture Channel for JPEG Colour Barcode Images

  • Keng T. Tan
  • Siong Khai Ong
  • Douglas Chai
Conference paper

DOI: 10.1007/978-3-642-10546-3_31

Part of the Communications in Computer and Information Science book series (CCIS, volume 61)
Cite this paper as:
Tan K.T., Ong S.K., Chai D. (2009) Modelling of Camera Phone Capture Channel for JPEG Colour Barcode Images. In: Ślęzak D., Pal S.K., Kang BH., Gu J., Kuroda H., Kim T. (eds) Signal Processing, Image Processing and Pattern Recognition. Communications in Computer and Information Science, vol 61. Springer, Berlin, Heidelberg

Abstract

As camera phones have permeated into our everyday lives, two dimensional (2D) barcode has attracted researchers and developers as a cost-effective ubiquitous computing tool. A variety of 2D barcodes and their applications have been developed. Often, only monochrome 2D barcodes are used due to their robustness in an uncontrolled operating environment of camera phones. However, we are seeing an emerging use of colour 2D barcodes for camera phones. Nonetheless, using a greater multitude of colours introduces errors that can negatively affect the robustness of barcode reading. This is especially true when developing a 2D barcode for camera phones which capture and store these barcode images in the baseline JPEG format. This paper present one aspect of the errors introduced by such camera phones by modelling the camera phone capture channel for JPEG colour barcode images.

Keywords

Image-based modelling Image processing & understanding 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Keng T. Tan
    • 1
  • Siong Khai Ong
    • 1
  • Douglas Chai
    • 1
  1. 1.Faculty of Computing, Health and ScienceEdith Cowan UniversityJoondalupAustralia

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