Gordon McNutt

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bstract. We develop real-time, low-complexity image classificaion algorithms suitable for a copy mode selector embedded in a ow-end copier. The algorithms classify scanned images repreented in RGB or in an opponent color space. Classes are the eight ombinations of mono/color and text/mix/picture/photo. Classificaion is 30–98% accurate with(More)
This paper describes a real-time, strip-based, low-complexity document page classification algorithm, which can be used as a copy mode selector in the copy pipeline. The benefits of such a copy mode selector include improving copy quality, simplifying user interaction, and increasing copy rate.
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