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Practical segmentation methods for logical and geometric layout analysis to Improve scanned PDF accessibility to vision impaired
Nazemi, Azadeh; Murray, IaIn; McMeekin, David A.
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.
Keyword(s): PDF layout analysis; Optical character recognition (OCR); Vision-impaired
Publication Date:
2014
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: Dublin City University
Citation(s): Nazemi, Azadeh, Murray, IaIn and McMeekin, David A. ORCID: 0000-0001-6445-1183 <https://orcid.org/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
Publisher(s): Science and Engineering Research Support Society
File Format(s): application/pdf
Related Link(s): http://doras.dcu.ie/23016/1/Practical%20Segmentation%20Methods%20for%20Logical%20and%20Geometric%20Layout.pdf,
http://dx.doi.org/10.14257/ijsip.2014.7.4.03
First Indexed: 2019-02-23 06:05:34 Last Updated: 2019-02-23 06:05:34