Treffer: Semi Automatic Color Segmentation of Document Pages ; Semi Automatic Color Segmentation of Document Pages : Application to administrative document segmentation

Title:
Semi Automatic Color Segmentation of Document Pages ; Semi Automatic Color Segmentation of Document Pages : Application to administrative document segmentation
Contributors:
Extraction de Caractéristiques et Identification (imagine), Pôle informatique graphique et géométrie (IGG), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), ITESOFT
Source:
International Workshop on Document Analysis System ; https://hal.science/hal-01371349 ; International Workshop on Document Analysis System, Apr 2016, Santorini, France ; http://www.primaresearch.org/das2016/
Publisher Information:
CCSD
Publication Year:
2016
Collection:
Portail HAL de l'Université Lumière Lyon 2
Subject Geographic:
Time:
Santorini, France
Document Type:
Konferenz conference object
Language:
English
Relation:
info:eu-repo/semantics/altIdentifier/arxiv/1609.08393; ARXIV: 1609.08393
Rights:
info:eu-repo/semantics/OpenAccess
Accession Number:
edsbas.7BC81934
Database:
BASE

Weitere Informationen

International audience ; —This paper presents a semi automatic method used to segment color documents into different uniform color plans. The practical application is dedicated to administrative documents segmentation. In these documents, like in many other cases, color has a semantic meaning: it is then possible to identify some specific regions like manual annotations, rubber stamps or colored highlighting. A first step of user-controlled learning of the desired color plans is made on few sample documents. An automatic process can then be performed on the much bigger set as a batch. Our experiments show very interesting results in with a very competitive processing time.