A low-complexity reduced-reference print identification algorithm

In a print production system, the ability to match a printed document with its original electronic form enables services that improve robustness of the production process, such as content tracking mechanisms, or highly targeted quality assurance checks. One approach to this problem is to use overt markings that are later removed. This work, however, adopts a method that uses no markings relying instead on fast image matching criteria. Though general image matching can be a difficult problem, the nature of this environment allows constraints to be imposed that yield simple, efficient solutions to the matching problem. A reduced-reference quality assessment algorithm is presented that is used to match every document in a collection of printed and scanned documents with its original electronic form, based on down-sampling, equalization, quantization and per-pixel comparison. Using a 1000 image test set, a 100 % matching rate is achievable by representing each image with only 5 bits-per-p...

• Type: Journal
• Year: 2009
• Where: ICIP
• Authors: Matthew Gaubatz, Robert Ulichney, David M. Rouse
• Keywords: ICIP 2009, Image, Image Processing, Original Electronic Form, Reduced-reference Quality Assessment