Header and Footer Extraction by Page-Association

Lin, Xiaofan

HP Development Company

关键词: document structure analysis;    optical character recognition;    header/footer extraction;    digit content re-mastering;   

RP-ID  :  HPL-2002-129

学科分类：计算机科学（综合）

美国|英语

来源: HP Labs

【 摘 要 】

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.