Header and footer extraction by page association
Xiaofan Lin · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2003
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 from OCR. Compared with the conventional methods based on the page-level layout and format, the proposed strategy considers a page in the context of neighboring pages. Through the page-association, the headers and footers in different patterns can be automatically detected without human interference or individual templates. In addition, fuzzy string match makes the method robust against OCR errors.