Document analysis systems

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Documents are widely used in our information-rich society. The proposed research streamlines the transition between paper documents and electronic documents, contributing flexible and general techniques for converting the information in scanned paper documents into electronic form. One proposed project develops new methods for representing the decisions that are made by document recognition systems. An explicit representation of decisions makes it easy to determine the causes of recognition errors, and supports automatic optimization of recognition algorithms. The second proposed project improves document processing by combining an analysis of document text with an analysis of document figures. The approach will be tested on a document classification problem: identify which technical documents are relevant for maintaining a biomedical database. The third proposed project develops methods of using external data to validate and correct recognition results. For example, an internet search can be used to verify information recognized from a scanned business card, and to correct incorrectly-recognized digits in a telephone number.