http://ocrblog.com/?author=5We have way too many people spouting off about technology they don't understand or have any experience with.
Creating a compressed, searchable document using OCR and compression technology can improve the efficiency of a document capture environment. The scanned document is separated into multiple layers — a layer containing high-resolution text or hard edges, one layer of low-resolution background and another layer containing colors and soft edges. Then each layer is compressed separately according to an algorithm that yields the best results for image size and clarity. This is done on the basis of analytical strengths of the technology. The technology uses JPEG and JPEG 2000 for lossy and CCITT G4 and JBIG2 for lossless compression.
We have way too many people spouting off about technology they don't understand or have any experience with.
Creating a compressed, searchable document using OCR and compression technology can improve the efficiency of a document capture environment. The scanned document is separated into multiple layers — a layer containing high-resolution text or hard edges, one layer of low-resolution background and another layer containing colors and soft edges. Then each layer is compressed separately according to an algorithm that yields the best results for image size and clarity. This is done on the basis of analytical strengths of the technology. The technology uses JPEG and JPEG 2000 for lossy and CCITT G4 and JBIG2 for lossless compression.
Sorta. It’ll create a layer (or group) of editable text.
It may be that a preliminary pass is made that attempts to separate whatever portion of the image the software recognizes as type is made prior to actually converting that into a font.
Again, it is an interesting ‘coincidence’ what other images have been grouped. E G, both aug dates omitting the last character. That anomaly has not been duplicated.