A fast and efficient method for extracting text paragraphs and graphics from unconstrained documents

Author

Lebourgeois, F. ; Bublinski ; Emptoz, H.

Author_Institution

Lab. de Modelisation des Syst. et Reconnaissance de Formes, INSA de Lyon, Villeurbanne, France

fYear

1992

fDate

30 Aug-3 Sep 1992

Firstpage

272

Lastpage

276

Abstract

Outlines a fast and efficient method for extracting graphics and text paragraphs from printed documents. The method presented is based on bottom-up approach to document analysis and it achieves very good performance in most cases. During the preprocessing characters are linked together to form blocks. Created blocks are segmented, labelled and merged into paragraphs. Simultaneously, graphics are extracted from the image. Algorithms for each step of processing are presented. Also, the obtained experimental results are included

Keywords

document image processing; image segmentation; text editing; document analysis; document processing; graphics extraction; labelling; run length smoothing algorithm; segmentation; text paragraph extraction; unconstrained documents; Data mining; Graphics; Image analysis; Image segmentation; Joining processes; Performance analysis; Pixel; Reconnaissance; Smoothing methods; Text analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on

Conference_Location

The Hague

Print_ISBN

0-8186-2915-0

Type

conf

DOI

10.1109/ICPR.1992.201771

Filename

201771