A Grayscale Reader for Camera Images of Xerox DataGlyphs
نویسنده
چکیده
Xerox DataGlyph technology is a 2-D matrix barcode encoding which combines relatively high data density with an error correction scheme and an unobtrusive format. Some of the more exciting applications proposed for this technology involve the decoding of unconstrained camera images of DataGlyphs. This paper details a set of grayscale methods including steered gradient filters and the Radon transform which can decode many unconstrained camera images. This method has been successfully tested on nearly camera images with very good results.
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