NeoMedia Technologies, Inc (NEOM)

[ss9173]

Upon further discussion with N E O M, we determined that this download link is not an effective barcode reader per the pdf article I posted yesterday. See page 3 at the top of the page.

http://www.vs.inf.ethz.ch/publ/papers/barcodes2006.pdf


As an alternative to costly domain transformation, a much simpler
approach is based on so-called scanlines, which try to detect the bar code along a particular
line through the image4. As such algorithms need much fewer computing resources, they
are specifically relevant for the use on mobile camera phones. Their drawbacks, however,
lie in their often poor recognition rates when dealing with dirty surfaces, reflections or
shadows, or slight misalignments and their need of detecting the bar code in the image
first (in order to properly align the scanline). We improved on this by making extensive
use of multiple scanlines (see figure 1), which will be explained below in section 3.1.

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N E O M and I believe that the "toolkit" that they subsequently developed is perhaps much more effective for mobile phone barcode recognition. See this link, which is referenced in the above pdf article: http://people.inf.ethz.ch/adelmanr/batoo/

We have thoroughly explored this "Batoo" website and haven't located the download for this barcode recognition toolkit. We have written an email to one of the author's to find out if / when the download link will be available.

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