Title
Access by content to handwritten archive documents: generic document recognition method and platform for annotations
Abstract
This paper presents annotations needed for handwritten archive document retrieval by content. We propose two complementary ways of producing these annotations: automatically by using document image analysis and collectively by using the Internet and manual input by users. A platform for managing these annotations is presented as well as examples of automatic annotations on civil status registers, military forms (tested on 165,000 pages) and naturalization decrees, using a generic method for structured document recognition and handwriting recognition on names. Examples of collective annotations built on automatic annotations are also given. This platform is already open to the public in the reading room of the new building of the Archives départementales des Yvelines and on the Internet. About 1,450,000 images of civil status registers are available for collective annotation as well as 105,000 pages of military forms with automatic annotation of handwritten names.
Year
DOI
Venue
2007
10.1007/s10032-007-0044-2
IJDAR
Keywords
Field
DocType
complementary way,automatic annotation,annotation,handwritten archive document retrieval,handwritten name,structured document recognition · generic method · handwriting recognition · automatic indexing · annotation · archive document,collective annotation,structured document recognition,civil status register,automatic indexing,generic document recognition method,document image analysis,handwriting recognition,military form,generic method,archive document,document retrieval
Structured document,Content analysis,Annotation,Information retrieval,Computer science,Document Structure Description,Handwriting recognition,Document retrieval,Automatic indexing,The Internet
Journal
Volume
Issue
ISSN
9
2-4
1433-2825
Citations 
PageRank 
References 
11
0.69
32
Authors
3
Name
Order
Citations
PageRank
Bertrand Coüasnon116919.22
Jean Camillerapp212512.88
Ivan Leplumey3414.51