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Keep in mind
that speed and price are not the only factors you need to consider.
While raw speed is important, the metric that really counts in a
production imaging operation is throughput — the volume of data
collected and images released to the back-end management system. Thus,
factors such as image quality and paper handling can make a dramatic
difference in productivity.
In another example, if you use automated recognition (OCR,
ICR, etc.),
image quality will make a huge difference in accuracy and labor required
to validate and correct results. Thus, auto thresholding, auto deskew
and auto crop image processing features are in high demand.
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