Adaptive use of thresholding and multiple colour space representation to improve classification of MMCC barcode
Graduate Research School
Graduate Research School / Centre for Communications Engineering Research
Colour 2D barcodes, such as the MMCC barcode, have been developed recently to improve the data capacity of monochrome barcodes. However, the use of colour imposes greater challenges in decoding the symbols correctly as different lighting conditions on the barcode vary the values of the colours significantly. Hence, it is desirable to have an adaptive classification of the data cells so as to adapt to various lighting conditions. In this paper, we propose a classification method that is able to adapt to different lighting conditions during the classification of the MMCC data cells in a mobile environment. To highlight the effectiveness of this method, it is compared against the classification of the data cells performed in two different colour space representations, namely RGB and YCbCr.
This is an Author's Accepted Manuscript of: Ong, S. K., Chai, D., & Rassau, A. (2011). Adaptive use of thresholding and multiple colour space representation to improve classification of MMCC barcode. Paper presented at the 2011 IEEE International Conference on Multimedia and Expo, Barcelona, Spain. Available here
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