Costs can quickly mount, as illustrated by the following example. With recognition, there are two important variables affecting success rates that are specific to a customer: errors and rejects. Errors are issues involved with false data recognition. In this instance, data is passed onto another system that is incorrect. A reject occurs when the confidence rate of a particular recognition process does not meet a specific threshold and requires manual intervention
This blog post, perhaps a slap in the face, is about why you can over clean scanned images, to the point where your recognition accuracy decreases
This is especially important for forms processing / OCR applications in order to improve character recognition. There are number of image enhancement techniques available today...This will increase the recognition rate of OCR
The reason for this are, these applications while almost always produce a result that is good for viewing, almost also ruin the fonts for recognition. Sad but true
This is what the scanning industry calls “Intelligent Document Recognition” or IDR
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