In today’s digitally-packed world, there are enough software solutions to make an OEM or reseller’s hard drive spin. Some software can be feature rich but very complex, while others are easier to use but limited in features
On device capture means that the software capture technology is embedded or part of the overall capture solution
The technology increases productivity by reducing the amount of manual intervention required with data entry and its associated costs. Recognition software can be comprised of a variety of technologies – OCR software (Optical Character Recognition), which recognizes data that is in the form of machine print; ICR software (Intelligent Character Recognition), which recognizes handwriting, including handprint and cursive writing (though definitions and capabilities vary among vendors); among other image analysis and pattern recognition technologies. To get the most out of recognition software, those implementing and involved with it at organizations need to understand how the technology works in order to set appropriate expectations
And which type of IDR software is the best fit for you?
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. There is software that cleans up images so that document recognition technology has the best fighting chance at accuracy, there is also software makes scanned images look as if they originated digitally
Image Capture It’s a standard function without which the process isn’t complete: Can your technology’s pre-recognition software clean up and improve captured images and catch imperfections that didn’t get caught at the hardware level?
This type of data capture and analysis software is used for a variety of purposes, such as transactions, business intelligence, applications, claim forms and customer support
You will see RFPs demanding an accuracy of 98% without giving samples, or purchases of data capture software where the character level accuracy is very high but characters never get a chance to be recognized because the template matching accuracy is very low
Eating my own dog food Having spent nearly my entire professional career in the document capture/ECM industry you would think that someone like me might suggest that a ‘solution’ starts with consideration of capture hardware or capture software. Not true. An effective capture solution, to the contrary, does not start with capturing information from an image
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Many content management software applications and search engines use a ‘crawl’ method to check newly added content and add them to an index (database) which is then searchable
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