Morphological Tagging Approach in Document Analysis of Invoices - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2004

Morphological Tagging Approach in Document Analysis of Invoices

Yolande Belaïd
Abdel Belaïd
  • Function : Author


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.
Fichier principal
Vignette du fichier
IEEE_ICPR_2004.pdf (463.78 Ko) Télécharger le fichier
Origin : Publisher files allowed on an open archive

Dates and versions

inria-00100079 , version 1 (08-02-2007)



Yolande Belaïd, Abdel Belaïd. Morphological Tagging Approach in Document Analysis of Invoices. 17th International Conference on Pattern Recognition - ICPR'2004, Aug 2004, Cambridge, United Kingdom. pp.469--472, ⟨10.1109/ICPR.2004.1334166⟩. ⟨inria-00100079⟩
99 View
549 Download



Gmail Facebook Twitter LinkedIn More