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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Proceedings - 7th International Conference on Document Analysis and Recognition, ICDAR 2003
Publisher	IEEE Computer Society
Pages	545-549
Number of pages	5
ISBN (Electronic)	0769519601
DOIs	https://doi.org/10.1109/ICDAR.2003.1227724
Publication status	Published - 1 Jan 2003
Externally published	Yes
Event	7th International Conference on Document Analysis and Recognition, ICDAR 2003 - Edinburgh, United Kingdom Duration: 3 Aug 2003 → 6 Aug 2003

Publication series

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

Conference

Conference	7th International Conference on Document Analysis and Recognition, ICDAR 2003
Country/Territory	United Kingdom
City	Edinburgh
Period	3/08/03 → 6/08/03

Access to Document

10.1109/ICDAR.2003.1227724

Cite this

Likforman-Sulem, L., Vaillant, P., & Yvon, F. (2003). Proper names extraction from fax images combining textual and image features. In Proceedings - 7th International Conference on Document Analysis and Recognition, ICDAR 2003 (pp. 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.",

author = "Laurence Likforman-Sulem and Pascal Vaillant and Fran{\c c}ois Yvon",

note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; 7th International Conference on Document Analysis and Recognition, ICDAR 2003 ; Conference date: 03-08-2003 Through 06-08-2003",

year = "2003",

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doi = "10.1109/ICDAR.2003.1227724",

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Likforman-Sulem, L, Vaillant, P & Yvon, F 2003, Proper names extraction from fax images combining textual and image features. in 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, pp. 545-549, 7th International Conference on Document Analysis and Recognition, ICDAR 2003, Edinburgh, United Kingdom, 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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

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AU - Vaillant, Pascal

AU - Yvon, François

PY - 2003/1/1

Y1 - 2003/1/1

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. In 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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