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A method for symbol spotting in graphical documents

Identifieur interne : 000355 ( PascalFrancis/Corpus ); précédent : 000354; suivant : 000356

A method for symbol spotting in graphical documents

Auteurs : Daniel Zuwala ; Salvatore Tabbone

Source :

RBID : Pascal:08-0029072

Descripteurs français

English descriptors

Abstract

In this paper we propose a new approach to find symbols in graphical documents. The method is based on a representation of the document in chain points extracted from the skeleton. We merge successively these chain points into a dendrogram framework and according to a measure of density. From the dendrogram, we extract potential symbols which can be recognized after.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

pA  
A01 01  1    @0 0302-9743
A05       @2 3872
A08 01  1  ENG  @1 A method for symbol spotting in graphical documents
A09 01  1  ENG  @1 Document analysis systems VII : 7th international workshop, DAS 2006, Nelson, New Zealand, February 13-15, 2006 : proceedings
A11 01  1    @1 ZUWALA (Daniel)
A11 02  1    @1 TABBONE (Salvatore)
A12 01  1    @1 BUNKE (Horst) @9 ed.
A12 02  1    @1 SPITZ (A. Lawrence) @9 ed.
A14 01      @1 LORIA-UMR 7503, Campus Scientifique, B.P. 239 @2 54506 Villers-les-Nancy @3 FRA @Z 1 aut. @Z 2 aut.
A20       @1 518-528
A21       @1 2006
A23 01      @0 ENG
A26 01      @0 3-540-32140-3
A43 01      @1 INIST @2 16343 @5 354000153630480460
A44       @0 0000 @1 © 2008 INIST-CNRS. All rights reserved.
A45       @0 13 ref.
A47 01  1    @0 08-0029072
A60       @1 P @2 C
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A64 01  1    @0 Lecture notes in computer science
A66 01      @0 DEU
C01 01    ENG  @0 In this paper we propose a new approach to find symbols in graphical documents. The method is based on a representation of the document in chain points extracted from the skeleton. We merge successively these chain points into a dendrogram framework and according to a measure of density. From the dendrogram, we extract potential symbols which can be recognized after.
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C03 02  X  FRE  @0 Reconnaissance forme @5 02
C03 02  X  ENG  @0 Pattern recognition @5 02
C03 02  X  SPA  @0 Reconocimiento patrón @5 02
C03 03  X  FRE  @0 Analyse documentaire @5 03
C03 03  X  ENG  @0 Document analysis @5 03
C03 03  X  SPA  @0 Análisis documental @5 03
C03 04  X  FRE  @0 Structure document @5 04
C03 04  X  ENG  @0 Document structure @5 04
C03 04  X  SPA  @0 Estructura documental @5 04
C03 05  X  FRE  @0 Squelette @5 06
C03 05  X  ENG  @0 Skeleton @5 06
C03 05  X  SPA  @0 Esqueleto @5 06
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N44 01      @1 OTO
N82       @1 OTO
pR  
A30 01  1  ENG  @1 DAS 2006 @2 7 @3 Nelson NZL @4 2006

Format Inist (serveur)

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ET : A method for symbol spotting in graphical documents
AU : ZUWALA (Daniel); TABBONE (Salvatore); BUNKE (Horst); SPITZ (A. Lawrence)
AF : LORIA-UMR 7503, Campus Scientifique, B.P. 239/54506 Villers-les-Nancy/France (1 aut., 2 aut.)
DT : Publication en série; Congrès; Niveau analytique
SO : Lecture notes in computer science; ISSN 0302-9743; Allemagne; Da. 2006; Vol. 3872; Pp. 518-528; Bibl. 13 ref.
LA : Anglais
EA : In this paper we propose a new approach to find symbols in graphical documents. The method is based on a representation of the document in chain points extracted from the skeleton. We merge successively these chain points into a dendrogram framework and according to a measure of density. From the dendrogram, we extract potential symbols which can be recognized after.
CC : 001D02C03
FD : Traitement image; Reconnaissance forme; Analyse documentaire; Structure document; Squelette
ED : Image processing; Pattern recognition; Document analysis; Document structure; Skeleton
SD : Procesamiento imagen; Reconocimiento patrón; Análisis documental; Estructura documental; Esqueleto
LO : INIST-16343.354000153630480460
ID : 08-0029072

Links to Exploration step

Pascal:08-0029072

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