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Header and Footer Extraction by Page-Association

Lin, Xiaofan

HPL-2002-129

Keyword(s): document structure analysis; optical character recognition; header/footer extraction; digit content re-mastering

Abstract: This paper introduces a robust algorithm to extract headers and footers from a variety of electronic documents such as image files, Adobe PDF files and files generated by Optical Character Recognition (OCR). Compared with the conventional methods based on page-level layout and format, the proposed novel strategy considers a page in the context of neighboring pages. Through such page-association, the headers and footers on a variety of documents can be automatically detected without human interference. In addition, the application of fuzzy string match also make the method resistant against OCR errors.

8 Pages

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