Proper names extraction from fax images combining textual and image features

Laurence Likforman-Sulem; Pascal Vaillant; François Yvon

doi:10.1109/ICDAR.2003.1227724

Proper names extraction from fax images combining textual and image features

Laurence Likforman-Sulem
, Pascal Vaillant
, François Yvon

ENST-LTCI
Université des Antilles et de la Guyane

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

Résumé

In the frame of a Unified Messaging System, a crucial task of the system is to provide the user with key information on every message received, like keywords reflecting the object of the message, or the name of the sender. However, in the case of facsimiles, this information is not as easy to detect as in the case of emails, since no standard headers are defined. The aim of the present work is to identify and extract a specific information (the name of the sender) from a fax cover page. For this purpose, methods based on image document analysis (OCR recognition, physical blocks selection), and text analysis methods (optimised dictionary lookup, local grammar rules), are implemented to work in parallel. The fusion of their results brings a more accurate guess than any of the methods would achieve separately.

langue originale	Anglais
titre	Proceedings - 7th International Conference on Document Analysis and Recognition, ICDAR 2003
Editeur	IEEE Computer Society
Pages	545-549
Nombre de pages	5
ISBN (Electronique)	0769519601
Les DOIs	https://doi.org/10.1109/ICDAR.2003.1227724
état	Publié - 1 janv. 2003
Modification externe	Oui
Evénement	7th International Conference on Document Analysis and Recognition, ICDAR 2003 - Edinburgh, Royaume-Uni Durée: 3 août 2003 → 6 août 2003

Série de publications

Nom	Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
Volume	2003-January
ISSN (imprimé)	1520-5363

Une conférence

Une conférence	7th International Conference on Document Analysis and Recognition, ICDAR 2003
Pays/Territoire	Royaume-Uni
La ville	Edinburgh
période	3/08/03 → 6/08/03

Accès au document

10.1109/ICDAR.2003.1227724

Contient cette citation

Likforman-Sulem, L., Vaillant, P., & Yvon, F. (2003). Proper names extraction from fax images combining textual and image features. Dans Proceedings - 7th International Conference on Document Analysis and Recognition, ICDAR 2003 (p. 545-549). Article 1227724 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol 2003-January). IEEE Computer Society. https://doi.org/10.1109/ICDAR.2003.1227724

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title = "Proper names extraction from fax images combining textual and image features",

abstract = "In the frame of a Unified Messaging System, a crucial task of the system is to provide the user with key information on every message received, like keywords reflecting the object of the message, or the name of the sender. However, in the case of facsimiles, this information is not as easy to detect as in the case of emails, since no standard headers are defined. The aim of the present work is to identify and extract a specific information (the name of the sender) from a fax cover page. For this purpose, methods based on image document analysis (OCR recognition, physical blocks selection), and text analysis methods (optimised dictionary lookup, local grammar rules), are implemented to work in parallel. The fusion of their results brings a more accurate guess than any of the methods would achieve separately.",

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Likforman-Sulem, L, Vaillant, P & Yvon, F 2003, Proper names extraction from fax images combining textual and image features. Dans Proceedings - 7th International Conference on Document Analysis and Recognition, ICDAR 2003., 1227724, Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, VOL. 2003-January, IEEE Computer Society, p. 545-549, 7th International Conference on Document Analysis and Recognition, ICDAR 2003, Edinburgh, Royaume-Uni, 3/08/03. https://doi.org/10.1109/ICDAR.2003.1227724

Proper names extraction from fax images combining textual and image features. / Likforman-Sulem, Laurence; Vaillant, Pascal; Yvon, François.
Proceedings - 7th International Conference on Document Analysis and Recognition, ICDAR 2003. IEEE Computer Society, 2003. p. 545-549 1227724 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol 2003-January).

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

TY - GEN

T1 - Proper names extraction from fax images combining textual and image features

AU - Likforman-Sulem, Laurence

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N2 - In the frame of a Unified Messaging System, a crucial task of the system is to provide the user with key information on every message received, like keywords reflecting the object of the message, or the name of the sender. However, in the case of facsimiles, this information is not as easy to detect as in the case of emails, since no standard headers are defined. The aim of the present work is to identify and extract a specific information (the name of the sender) from a fax cover page. For this purpose, methods based on image document analysis (OCR recognition, physical blocks selection), and text analysis methods (optimised dictionary lookup, local grammar rules), are implemented to work in parallel. The fusion of their results brings a more accurate guess than any of the methods would achieve separately.

AB - In the frame of a Unified Messaging System, a crucial task of the system is to provide the user with key information on every message received, like keywords reflecting the object of the message, or the name of the sender. However, in the case of facsimiles, this information is not as easy to detect as in the case of emails, since no standard headers are defined. The aim of the present work is to identify and extract a specific information (the name of the sender) from a fax cover page. For this purpose, methods based on image document analysis (OCR recognition, physical blocks selection), and text analysis methods (optimised dictionary lookup, local grammar rules), are implemented to work in parallel. The fusion of their results brings a more accurate guess than any of the methods would achieve separately.

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Likforman-Sulem L, Vaillant P, Yvon F. Proper names extraction from fax images combining textual and image features. Dans Proceedings - 7th International Conference on Document Analysis and Recognition, ICDAR 2003. IEEE Computer Society. 2003. p. 545-549. 1227724. (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR). doi: 10.1109/ICDAR.2003.1227724

Proper names extraction from fax images combining textual and image features

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Série de publications

Une conférence

Accès au document

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Contient cette citation