BMVC IndexA Novel Approach to Real-time Non-intrusive Gaze FindingComputer Vision: AnalysisAutomatic Face Authentication from 3D surface

Automatic Processing of Document Annotations
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J. Stevens, A. Gee, C. Dance

University of Cambridge
Department of Engineering
Cambridge CB2 1PZ UK
Xerox Research Centre Europe
61 Regent Street
Cambridge CB2 1AB UK

Contact: ahg@eng.cam.ac.uk

Abstract

A common authoring technique involves making annotations on a printed draft and then typing the corrections into a computer at a later date. In this paper, we describe a system that goes some way towards automating this process. The author simply passes the annotated documents through a sheet-feed scanner and then brings up the electronic document in a text editor. The system then works out where the annotated words are and allows the author to skip from one annotation to the next at the touch of a key. At the heart of the system lies a procedure for reliably establishing correspondences between printed words and their electronic counterparts, without performing optical character recognition. This procedure might have interesting applications in document database retrieval, since it allows an electronic document to be indexed by a printed version of itself.

Keywords: Document Image Processing, Approximate String Matching, Document Database Retrieval
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BMVC IndexA Novel Approach to Real-time Non-intrusive Gaze FindingComputer Vision: AnalysisAutomatic Face Authentication from 3D surface

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