Earticle

초록

영어

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.

목차

Abstract
 1. Introduction
 3. Pre Processing
  3.1. Format Conversion
  3.2. Binarization
  3.3. Scaling Image
  3.4. Margin Removal
  3.5. Skew Detection and Correction
 4. Block Segmentation
 5. Text-Image Segmentation
 6. Line Segmentation
 7. Word Segmentation
 8. Vertical-Horizontal-Recursive-Segmentation
 9. Conclusion
 References

키워드

저자

• Azadeh Nazemi [ Electrical and Computer Engineering Spatial Sciences, Curtin University ,Perth ,WA,Australia ]
• Iain Murray [ Electrical and Computer Engineering Spatial Sciences, Curtin University ,Perth ,WA,Australia ]
• David A. Mc Meekin [ Electrical and Computer Engineering Spatial Sciences, Curtin University ,Perth ,WA,Australia ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605