Treffer: DAN: An automatic segmentation and classification engine for paper documents
Title:
DAN: An automatic segmentation and classification engine for paper documents
Authors:
Source:
DAS 2002 : document analysis systems V (Princeton NJ, 19-21 August 2002)Lecture notes in computer science. 2423:491-502
Publisher Information:
Berlin: Springer, 2002.
Publication Year:
2002
Physical Description:
print, 17 ref
Original Material:
INIST-CNRS
Subject Terms:
Documentation, Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences et techniques communes, Sciences and techniques of general use, Sciences de l'information. Documentation, Information science. Documentation, Systèmes de recherche d'informations. Système de gestion documentaire et d'information, Information retrieval systems. Information and document management system, Systèmes de gestion documentaire et d'information, Information and document management systems, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Logiciel, Software, Organisation des mémoires. Traitement des données, Memory organisation. Data processing, Systèmes d'information. Bases de données, Information systems. Data bases, Sciences de l'information et de la communication, Information and communication sciences, Système de recherche documentaire. Système de gestion documentaire et d'information, Analyse documentaire, Document analysis, Análisis documental, Analyse système, System analysis, Análisis sistema, Bureautique, Office automation, Burotica, Classification automatique, Automatic classification, Clasificación automática, Gestion automatisée, Assisted management, Gestión automatizada, Information a priori, Prior information, Información a priori, Langage XML, XML language, Lenguaje XML, Saisie donnée, Data acquisition, Toma dato, Traitement document, Document processing, Tratamiento documento, Reconnaissance document, Segmentation document
Document Type:
Konferenz
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Dept. of Information Science, Universita'La Sapienza di Roma Via Salaria 113, 00198 Roma, Italy
ISSN:
0302-9743
Rights:
Copyright 2003 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Sciences of information and communication. Documentation
FRANCIS
Sciences of information and communication. Documentation
FRANCIS
Accession Number:
edscal.14780824
Database:
PASCAL Archive
Weitere Informationen
The paper documents recognition is fundamental for office automation becoming every day a more powerful tool in those fields where information is still on paper. Document recognition follows from data acquisition, from both journals, and entire books in order to transform them in digital objects. We present a new system DAN (Document Analysis on Network) for Document recognition that follows the Open Source methodologies, XML description for documents segmentation and classification, which turns to be beneficial in terms of classification precision, and general-purpose availability.