Serveur d'exploration sur l'OCR

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Integrated text and line-art extraction from a topographic map

Identifieur interne : 000770 ( PascalFrancis/Corpus ); précédent : 000769; suivant : 000771

Integrated text and line-art extraction from a topographic map

Auteurs : LUYANG LI ; G. Nagy ; A. Samal ; S. Seth ; YIHONG XU

Source :

RBID : Pascal:00-0341139

Descripteurs français

English descriptors

Abstract

Our proposed approach to text and line-art extraction requires accurately locating a text-string box and identifying external line vectors incident on the box. The results of extrapolating these vectors inside the box are passed to an experimental single-font optical character reader (OCR) program, specifically trained for the font used for street labels. In the first evaluation experiment, automated techniques are used to identify the boxes and the line vectors. In the second, more comprehensive, experiment an operator marks these using a graphical user interface. OCR results on 544 instances of overlapped street-name boxes show the following improvements due to the integrated processing: the error rate is reduced from 4.1% to 2.0% for characters and from 11.8% to 6.4% for words.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

pA  
A01 01  1    @0 1433-2833
A03   1    @0 Int. j. doc. anal. recognit. : (Print)
A05       @2 2
A06       @2 4
A08 01  1  ENG  @1 Integrated text and line-art extraction from a topographic map
A11 01  1    @1 LUYANG LI
A11 02  1    @1 NAGY (G.)
A11 03  1    @1 SAMAL (A.)
A11 04  1    @1 SETH (S.)
A11 05  1    @1 YIHONG XU
A14 01      @1 Panasonic Information and Networking Laboratories @2 Princeton, NY @3 USA @Z 1 aut.
A14 02      @1 Rensselaer Polytechnic Institute @2 Troy, NY @3 USA @Z 2 aut.
A14 03      @1 University of Nebraska - Lincoln, Department of Computer Science @2 Lincoln, NE 68588 @3 USA @Z 3 aut. @Z 4 aut.
A14 04      @1 Hewlett-Packard Laboratories @2 Palo Alto, CA @3 USA @Z 5 aut.
A20       @1 177-185
A21       @1 2000
A23 01      @0 ENG
A43 01      @1 INIST @2 26790 @5 354000082591380030
A44       @0 0000 @1 © 2000 INIST-CNRS. All rights reserved.
A45       @0 26 ref.
A47 01  1    @0 00-0341139
A60       @1 P
A61       @0 A
A64 01  1    @0 International journal on document analysis and recognition : (Print)
A66 01      @0 DEU
C01 01    ENG  @0 Our proposed approach to text and line-art extraction requires accurately locating a text-string box and identifying external line vectors incident on the box. The results of extrapolating these vectors inside the box are passed to an experimental single-font optical character reader (OCR) program, specifically trained for the font used for street labels. In the first evaluation experiment, automated techniques are used to identify the boxes and the line vectors. In the second, more comprehensive, experiment an operator marks these using a graphical user interface. OCR results on 544 instances of overlapped street-name boxes show the following improvements due to the integrated processing: the error rate is reduced from 4.1% to 2.0% for characters and from 11.8% to 6.4% for words.
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C03 01  X  ENG  @0 Localization @5 01
C03 01  X  SPA  @0 Localización @5 01
C03 02  X  FRE  @0 Interface utilisateur @5 02
C03 02  X  ENG  @0 User interface @5 02
C03 02  X  SPA  @0 Interfase usuario @5 02
C03 03  X  FRE  @0 Reconnaissance caractère @5 03
C03 03  X  ENG  @0 Character recognition @5 03
C03 03  X  SPA  @0 Reconocimiento carácter @5 03
C03 04  X  FRE  @0 Représentation graphique @5 04
C03 04  X  ENG  @0 Graphics @5 04
C03 04  X  SPA  @0 Representación gráfica @5 04
C03 05  X  FRE  @0 Mode conversationnel @5 05
C03 05  X  ENG  @0 Interactive mode @5 05
C03 05  X  SPA  @0 Modo conversacional @5 05
C03 06  X  FRE  @0 Adaptation @5 06
C03 06  X  ENG  @0 Adaptation @5 06
C03 06  X  SPA  @0 Adaptación @5 06
C03 07  X  FRE  @0 Système information géographique @5 07
C03 07  X  ENG  @0 Geographic information system @5 07
C03 07  X  SPA  @0 Sistema información geográfica @5 07
C03 08  X  FRE  @0 Reconnaissance graphique @5 08
C03 08  X  ENG  @0 Graphical recognition @5 08
C03 08  X  SPA  @0 Reconocimiento gráfico @5 08
C03 09  X  FRE  @0 Segmentation @5 09
C03 09  X  ENG  @0 Segmentation @5 09
C03 09  X  SPA  @0 Segmentación @5 09
C03 10  X  FRE  @0 Lecteur optique @5 10
C03 10  X  ENG  @0 Optical reader @5 10
C03 10  X  SPA  @0 Lector óptico @5 10
C03 11  X  FRE  @0 Texte @5 11
C03 11  X  ENG  @0 Text @5 11
C03 11  X  SPA  @0 Texto @5 11
C03 12  X  FRE  @0 Interface graphique @5 12
C03 12  X  ENG  @0 Graphical interface @5 12
C03 12  X  SPA  @0 Interfaz grafica @5 12
C03 13  X  FRE  @0 Etude expérimentale @5 13
C03 13  X  ENG  @0 Experimental study @5 13
C03 13  X  SPA  @0 Estudio experimental @5 13
C03 14  X  FRE  @0 Rue @5 14
C03 14  X  ENG  @0 Street @5 14
C03 14  X  SPA  @0 Calle @5 14
C03 15  X  FRE  @0 Taux erreur @5 15
C03 15  X  ENG  @0 Error rate @5 15
C03 15  X  SPA  @0 Indice error @5 15
C03 16  X  FRE  @0 Traitement coopératif @4 INC @5 82
C03 17  X  FRE  @0 Traitement forme @4 INC @5 83
N21       @1 234

Format Inist (serveur)

NO : PASCAL 00-0341139 INIST
ET : Integrated text and line-art extraction from a topographic map
AU : LUYANG LI; NAGY (G.); SAMAL (A.); SETH (S.); YIHONG XU
AF : Panasonic Information and Networking Laboratories/Princeton, NY/Etats-Unis (1 aut.); Rensselaer Polytechnic Institute/Troy, NY/Etats-Unis (2 aut.); University of Nebraska - Lincoln, Department of Computer Science/Lincoln, NE 68588/Etats-Unis (3 aut., 4 aut.); Hewlett-Packard Laboratories/Palo Alto, CA/Etats-Unis (5 aut.)
DT : Publication en série; Niveau analytique
SO : International journal on document analysis and recognition : (Print); ISSN 1433-2833; Allemagne; Da. 2000; Vol. 2; No. 4; Pp. 177-185; Bibl. 26 ref.
LA : Anglais
EA : Our proposed approach to text and line-art extraction requires accurately locating a text-string box and identifying external line vectors incident on the box. The results of extrapolating these vectors inside the box are passed to an experimental single-font optical character reader (OCR) program, specifically trained for the font used for street labels. In the first evaluation experiment, automated techniques are used to identify the boxes and the line vectors. In the second, more comprehensive, experiment an operator marks these using a graphical user interface. OCR results on 544 instances of overlapped street-name boxes show the following improvements due to the integrated processing: the error rate is reduced from 4.1% to 2.0% for characters and from 11.8% to 6.4% for words.
CC : 001D02C03; 001E01J02; 224B02
FD : Localisation; Interface utilisateur; Reconnaissance caractère; Représentation graphique; Mode conversationnel; Adaptation; Système information géographique; Reconnaissance graphique; Segmentation; Lecteur optique; Texte; Interface graphique; Etude expérimentale; Rue; Taux erreur; Traitement coopératif; Traitement forme
ED : Localization; User interface; Character recognition; Graphics; Interactive mode; Adaptation; Geographic information system; Graphical recognition; Segmentation; Optical reader; Text; Graphical interface; Experimental study; Street; Error rate
SD : Localización; Interfase usuario; Reconocimiento carácter; Representación gráfica; Modo conversacional; Adaptación; Sistema información geográfica; Reconocimiento gráfico; Segmentación; Lector óptico; Texto; Interfaz grafica; Estudio experimental; Calle; Indice error
LO : INIST-26790.354000082591380030
ID : 00-0341139

Links to Exploration step

Pascal:00-0341139

Le document en format XML

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<NO>PASCAL 00-0341139 INIST</NO>
<ET>Integrated text and line-art extraction from a topographic map</ET>
<AU>LUYANG LI; NAGY (G.); SAMAL (A.); SETH (S.); YIHONG XU</AU>
<AF>Panasonic Information and Networking Laboratories/Princeton, NY/Etats-Unis (1 aut.); Rensselaer Polytechnic Institute/Troy, NY/Etats-Unis (2 aut.); University of Nebraska - Lincoln, Department of Computer Science/Lincoln, NE 68588/Etats-Unis (3 aut., 4 aut.); Hewlett-Packard Laboratories/Palo Alto, CA/Etats-Unis (5 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>International journal on document analysis and recognition : (Print); ISSN 1433-2833; Allemagne; Da. 2000; Vol. 2; No. 4; Pp. 177-185; Bibl. 26 ref.</SO>
<LA>Anglais</LA>
<EA>Our proposed approach to text and line-art extraction requires accurately locating a text-string box and identifying external line vectors incident on the box. The results of extrapolating these vectors inside the box are passed to an experimental single-font optical character reader (OCR) program, specifically trained for the font used for street labels. In the first evaluation experiment, automated techniques are used to identify the boxes and the line vectors. In the second, more comprehensive, experiment an operator marks these using a graphical user interface. OCR results on 544 instances of overlapped street-name boxes show the following improvements due to the integrated processing: the error rate is reduced from 4.1% to 2.0% for characters and from 11.8% to 6.4% for words.</EA>
<CC>001D02C03; 001E01J02; 224B02</CC>
<FD>Localisation; Interface utilisateur; Reconnaissance caractère; Représentation graphique; Mode conversationnel; Adaptation; Système information géographique; Reconnaissance graphique; Segmentation; Lecteur optique; Texte; Interface graphique; Etude expérimentale; Rue; Taux erreur; Traitement coopératif; Traitement forme</FD>
<ED>Localization; User interface; Character recognition; Graphics; Interactive mode; Adaptation; Geographic information system; Graphical recognition; Segmentation; Optical reader; Text; Graphical interface; Experimental study; Street; Error rate</ED>
<SD>Localización; Interfase usuario; Reconocimiento carácter; Representación gráfica; Modo conversacional; Adaptación; Sistema información geográfica; Reconocimiento gráfico; Segmentación; Lector óptico; Texto; Interfaz grafica; Estudio experimental; Calle; Indice error</SD>
<LO>INIST-26790.354000082591380030</LO>
<ID>00-0341139</ID>
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