Extraction of type style based meta-information from imaged documents

Author

Garain, U. ; Chaudhuri, B.B.

Author_Institution

Comput. Vision & Pattern Recognition Unit, Indian Stat. Inst., Calcutta, India

fYear

1999

fDate

20-22 Sep 1999

Firstpage

341

Lastpage

344

Abstract

Extraction of some meta-information from printed documents without an OCR approach is considered. It can be statistically verified that important terms in articles are printed in italic, bold and all capital style. Detection of these type styles helps in automatic extraction of the lines containing titles, authors´ names, subtitles, references as well as sentences having important terms occurring in the text. It also helps in improving the OCR performance for reading the italic text. Some experimental results on the performance of the approach on good quality as well as degraded document images are presented

Keywords

character sets; document image processing; document image processing; experimental results; line extraction; meta-information; printed documents; sentences; statistics; terms; type style information; Computer vision; Data mining; Image converters; Optical character recognition software; Pattern recognition; Postal services; Pressing; Read only memory; Search engines; Sections;

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.1999.791794

Filename

791794