Paper documents are routinely found in general litigation and criminal and terrorist investigations. The current state-of-the-art processing of these documents is to simply OCR them and search strictly the text. This ignores all handwriting, signatures, logos, images, watermarks, and any other non-text artifacts in a document. Technology, however, exists to extract key metadata from paper documents such as logos and signatures and match these against a set of known logos and signatures. We describe a prototype that moves beyond simply the OCR processing of paper documents and relies on additional documents artifacts rather than only on text in the search process. We also describe a benchmark developed for the evaluation of paper document search systems.
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