Abstract
The paper provides a progress report on a project aimed at automating the checkout operation at a supermarket, without corrupting package labels by adding barcodes. Significant parameters of the checkout operation such as throughout and error rates are first discussed. Next, the requirements for a pattern recognition methodology for identifying packaged merchandise are analysed and an approach is suggested. Finally, the results of an investigation of simple image processing methods for recognising labels are presented, and an approach based on grey level histogram data is shown to be promising.
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