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- W2054549563 abstract "We develop real-time, low-complexity image classification algorithms suitable for a copy mode selector embedded in a low-end copier. The algorithms classify scanned images represented in RGB or in an opponent color space. Classes are the eight combinations of mono/color and text/mix/picture/photo. Classification is 30–98% accurate with misclassifications tending to be benign. The algorithms provide for improved copy quality, a simplified user interface, and increased copy rate." @default.
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- W2054549563 date "2008-10-01" @default.
- W2054549563 modified "2023-09-26" @default.
- W2054549563 title "Document page classification algorithms in low-end copy pipeline" @default.
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- W2054549563 doi "https://doi.org/10.1117/1.3010879" @default.
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