Layout and analysis: Finding text, titles, and photos in digital images of newspaper pages

Author

Wieser, Johann ; Pinz, Axel

Author_Institution

Inst. for Autom., Tech. Univ. of Vienna, Austria

fYear

1993

fDate

20-22 Oct 1993

Firstpage

774

Lastpage

777

Abstract

An important step in the analysis of printed documents is the segmentation and classification of blocks into categories such as photographs, titles, paragraphs, etc. The authors present an approach to enhance and combine two commonly used methods, a merging bottom-up approach and a cutting top down approach, to segment pages of a newspaper. The implementation of a layout analysis system as a preprocessing module for a commercial product is described

Keywords

document image processing; image classification; image segmentation; merging; block classification; block segmentation; commercial product; cutting top down approach; digital images; document analysis; document layout; layout analysis system; merging bottom-up approach; newspaper pages; paragraphs; photographs; preprocessing module; printed documents; text; titles; Digital images; Image analysis; Image converters; Image segmentation; Merging; Optical character recognition software; Particle separators; Pattern analysis; Size measurement; Text analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 1993., Proceedings of the Second International Conference on

Conference_Location

Tsukuba Science City

Print_ISBN

0-8186-4960-7

Type

conf

DOI

10.1109/ICDAR.1993.395623

Filename

395623