Barcode Like scanning technology on flatbed...?

[MisterX]

John,

it's called image recognition. Built-in any OCR for long time. There's
plenty of options now...

For programming, it's a good use of neural networks and semantic nets allow
you good control of this inclusive reconstitutions
or interpolations. Search for "image recognition faq" at google.

Heavy subject. loads of libraries and code available.

In transcript you could do it but the number of iterations
is geometrical on image size - the scale or rotate factors would become a
computational problem. So go C[++] on this, better, buy a good OCR and use
it on any scanner or buy a specialized scanner...

If it's a UPC straight and full resolution bitmap image (can't get simpler
than that for this utopical situation), it can be done in transcript with
distance calculations in relatively short time (algebra 101 algorithms).
You'd need the UPC specs though and a scale calibration. Then the fun
starts...

Xavier ;)


> -----Original Message-----
> From: use-revolution-bounces at lists.runrev.com
> [mailto:use-revolution-bounces at lists.runrev.com]On Behalf Of Patten,
> John
> Sent: Monday, February 23, 2004 18:46
> To: use-revolution at lists.runrev.com
> Subject: Barcode Like scanning technology on flatbed...?
>
>
> Hi All!
>
> Has anybody ever did any work with flatbed scanners and barcode
> reading? It wouldn't have to be a barcode, but some kind of
> digital signature.
>
> I'm thinking there should be a way to process a jpeg image after
> being scanned , save the image and then parse out the digital
> data that represents the area on the scanned document that is the
> digital signature.  If the signature did not change, like a
> barcode, then you could use the data that makes up the digital
> signature as an identifier.
>
> Not sure if this makes sense, I'm not a programmer, but this
> seems like it should work...??
>
> Are there xcmds or hooks that would allow something like this to
> work from within Rev?
>
> Thank You!
>
> John Patten
> Tech Dept
> SBCUSD
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