Morphological Tagging Approach in Document Analysis of Invoices
Identifieur interne : 001426 ( Main/Exploration ); précédent : 001425; suivant : 001427Morphological Tagging Approach in Document Analysis of Invoices
Auteurs : Yolande Belaïd [France] ; Abdel Belaïd [France]Source :
English descriptors
Abstract
In this paper a morphological tagging approach for document image invoice analysis is described. Tokens close by their morphology and confirmed in their location within different similar contexts make apparent some parts of speech representative of the structure elements. This bottom up approach avoids the use of an priori knowledge provided that there are redundant and frequent contexts in the text. The approach is applied on the invoice body text roughly recognized by OCR and automatically segmented. The method makes possible the detection of the invoice articles and their different fields. The regularity of the article composition and its redundancy in the invoice is a good help for its structure. The recognition rate of 276 invoices and 1704 articles, is over than 91.02% for articles and 92.56% for fields.
Url:
DOI: 10.1109/ICPR.2004.1334166
Affiliations:
- France
- Lorraine
- Nancy
- Institut national polytechnique de Lorraine, Université Nancy 2, Université de Lorraine
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Le document en format XML
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Tokens close by their morphology and confirmed in their location within different similar contexts make apparent some parts of speech representative of the structure elements. This bottom up approach avoids the use of an priori knowledge provided that there are redundant and frequent contexts in the text. The approach is applied on the invoice body text roughly recognized by OCR and automatically segmented. The method makes possible the detection of the invoice articles and their different fields. The regularity of the article composition and its redundancy in the invoice is a good help for its structure. The recognition rate of 276 invoices and 1704 articles, is over than 91.02% for articles and 92.56% for fields.</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Lorraine</li></region><settlement><li>Nancy</li></settlement><orgName><li>Institut national polytechnique de Lorraine</li><li>Université Nancy 2</li><li>Université de Lorraine</li></orgName></list><tree><country name="France"><region name="Lorraine"><name sortKey="Belaid, Yolande" sort="Belaid, Yolande" uniqKey="Belaid Y" first="Yolande" last="Belaïd">Yolande Belaïd</name></region><name sortKey="Belaid, Abdel" sort="Belaid, Abdel" uniqKey="Belaid A" first="Abdel" last="Belaïd">Abdel Belaïd</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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