Representing OCRed documents in HTML

Author

Hong, Tao ; Srihari, Sargur N.

Author_Institution

Microsoft Corp., Redmond, WA, USA

Volume

2

fYear

1997

fDate

18-20 Aug 1997

Firstpage

831

Abstract

OCR is an error-prone process. It is time-consuming and expensive to manually proofread OCR results. The errors remaining in OCRed texts can cause serious problems in reading and understanding if they do not refer to the original image representation. As demonstrated in this paper, a hybrid document which combines symbolic representation and image representation may relieve the problem. If we represent a OCRed document properly in HTML, OCR errors will not have much negative effect on the human reading process in an HTML browser and can be corrected by using an HTML authoring tool. Under this approach, an experiment evaluating a Japanese OCR system developed at CEDAR is also reported in this paper

Keywords

authoring systems; document image processing; hypermedia; image representation; optical character recognition; page description languages; HTML authoring tool; HTML browser; Japanese OCR system evaluation; OCR errors; document representation; error correction; human reading process; hybrid document; image representation; symbolic representation; text errors; Character recognition; Error correction; Graphical user interfaces; HTML; Humans; Image quality; Image representation; Image segmentation; Optical character recognition software; Text categorization;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on

Conference_Location

Ulm

Print_ISBN

0-8186-7898-4

Type

conf

DOI

10.1109/ICDAR.1997.620628

Filename

620628