A generic recognition system for making archives documents accessible to public

Author

Coüasnon, Bertrand ; Leplumey, Ivan

Author_Institution

IRISA/INRIA, France

fYear

2003

fDate

3-6 Aug. 2003

Firstpage

228

Abstract

This paper presents annotations needed for handwritten archive document retrieval by content. We propose two complementary ways of producing those annotations: automatically by using optical document recognition and collectively by using the Internet and manual input by users. A platform for managing those annotations is presented as well as examples of automatic annotations on civil status registers, military forms (tested on 60,000 pages) and naturalization decrees, using a generic document recognition method. Examples of collective annotations built on automatic annotations are also given.

Keywords

content-based retrieval; document image processing; image recognition; image segmentation; optical character recognition; DMOS method; Internet; civil status register; content based retrieval; description and modification of segmentation method; generic recognition system; handwritten archive document retrieval; military forms; optical document recognition; Automatic testing; Content based retrieval; Geometrical optics; Internet; Optical character recognition software; Text analysis; Text recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 2003. Proceedings. Seventh International Conference on

Print_ISBN

0-7695-1960-1

Type

conf

DOI

10.1109/ICDAR.2003.1227664

Filename

1227664