DocumentCode :
2629145
Title :
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
Link To Document :
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