![]() I do love peanut butter) -īefore looking at any code, let's visualise the process. Let's this image as an example to work with (peanut butter. (Some of the techniques are similar to things that I did in my Face or no face (finding faces in photos using C# and Accord.NET) and so I'll be using some of the same code shortly that I described then) Identifying maybe-barcode images This approach is fairly resilient to changes in lighting and orientation because the barcode regions are still likely to have the highest horizontal intensity gradient whether the image is dark or light (and even if part of the image is light and part of it is dark) and the barcode-reading algorithm works on ratios of bar/space-between-bar widths and these remain constant if the image is rotated.
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