Document image dewarping based on line estimation for visually impaired

P. Kakumanu, N. Bourbakis, J. Black, Sethuraman Panchanathan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

In this paper, we present an image-text dewarping methodology based on robust estimation of text-lines. When a text-page is captured by a camera, it suffers both from the perspective distortions and the page curl, The non-linear distortion due to page-curl is inherently present, given the surface nature of the pages and the text-book. The state-of-the-art OCR systems have a very low performance on recognizing such distorted text. To remove both these distortions and to produce a flattened view of the text, we use the cues present in the image-text, i.e., the text-lines on the surface of the page are straight. The methodology requires only a single camera captured image and does not require any calibration or any other expensive hardware setups as in other methods. Experimental results on a set of documents show that the methodology produces visually pleasing output and also improves OCR accuracy.

Original languageEnglish (US)
Title of host publicationProcedings - 18th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2006
Pages625-631
Number of pages7
DOIs
StatePublished - 2006
Event18th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2006 - Arlington, VA, United States
Duration: Oct 13 2006Oct 15 2006

Publication series

NameProceedings - International Conference on Tools with Artificial Intelligence, ICTAI
ISSN (Print)1082-3409

Other

Other18th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2006
Country/TerritoryUnited States
CityArlington, VA
Period10/13/0610/15/06

Keywords

  • Document image analysis
  • Page-curl dewarping and assistive devices
  • Perspective rectification

ASJC Scopus subject areas

  • Engineering(all)

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