Pattern Recognition
Graphical Models and Image Processing
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
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The use of scanners and other capture devices to incorporate film- and paper-based materials into digital workflows is an important part of "digital convergence", or the bringing of paper-based and electronic documents together into the same electronic workflows. The diversity of captured information-from text and mixed-type documents to photos, negatives, slides and transparencies-requires a combination of document analysis techniques to perform, automatically, the segmentation, classification and workflow assignment of the scanned images. We herein present technologies that provide fast ( 95% job accuracy) capture solutions for all of these input content types. These solutions offer near real-time capture that provides automated workflow capabilities to a repertoire of scanning hardware: scanners, all-in-one devices, copiers and multifunctional printers. The techniques used to categorize the documents, perform zoning analysis on the documents, and then perform closed loop quality assurance on the documents are presented.