Page decomposition and signature finding via shape classification and geometric layout

Author

Hobby, John D.

Author_Institution

Bell Labs., Lucent Technol., Murray Hill, NJ, USA

fYear

1999

fDate

20-22 Sep 1999

Firstpage

555

Lastpage

558

Abstract

Consider the problem of decomposing a page image into text ruling lines, signatures, other line art, and other material. A fast classifier based on a skeletonization of the image and various curve-fitting techniques gives an initial labeling, followed by Baird´s language-free layout analysis and a post-processor that uses the geometric layout to refine the decisions about text versus non-text

Keywords

curve fitting; document image processing; image classification; image thinning; optical character recognition; OCR; curve fitting; document image processing; geometric layout; image skeletonization; language-free layout analysis; line art; page decomposition; shape classification; signature finding; text ruling lines; Art; Curve fitting; Image analysis; Image segmentation; Image storage; Labeling; Optical character recognition software; Shape; Skeleton; Text analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 1999. ICDAR '99. Proceedings of the Fifth International Conference on

Conference_Location

Bangalore

Print_ISBN

0-7695-0318-7

Type

conf

DOI

10.1109/ICDAR.1999.791848

Filename

791848

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3142290