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Practical segmentation methods for logical and geometric layout analysis to Improve scanned PDF accessibility to vision impaired

Nazemi, Azadeh ORCID: 0000-0002-1138-309X, Murray, Iain and McMeekin, David A. ORCID: 0000-0001-6445-1183 (2014) Practical segmentation methods for logical and geometric layout analysis to Improve scanned PDF accessibility to vision impaired. International Journal of Signal Processing, Image Processing and Pattern Recognition, 7 (4). pp. 23-36. ISSN 2005-4254

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Abstract

The use of electronic documents has rapidly increased in recent decades and the PDF is one the most commonly used electronic document formats. A scanned PDF is an image and does not actually contain any text. For the vision–impaired user who is dependent upon a screen reader to access this information, this format is not useful. Thus addressing PDF accessibility through assistive technology has now become an important concern. PDF layout analysis provides precious formatting information that supports PDF component classification. This classification facilitates the tag generation. Accurate tagging produces a searchable and navigable scanned PDF document. This paper describes several practical segmentation methods which are easy to implement and efficient for PDF layout analysis so that the scanned PDF document can be navigated or searched using assistive technologies.

Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:PDF layout analysis; Optical character recognition (OCR); Vision-impaired
Subjects:UNSPECIFIED
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Publisher:Science and Engineering Research Support Society
Official URL:http://dx.doi.org/10.14257/ijsip.2014.7.4.03
Copyright Information:© 2014 SERSC
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:23016
Deposited On:22 Feb 2019 15:59 by Thomas Murtagh . Last Modified 03 Sep 2020 16:04

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