DocumentCode :
2049165
Title :
A Case-Based Reasoning Approach for Unknown Class Invoice Processing
Author :
Hamza, Hatem ; Belaid, Yolande ; Belaïd, Yolande
Author_Institution :
Univ. Nancy 2, Lorraine
Volume :
5
fYear :
2007
fDate :
Sept. 16 2007-Oct. 19 2007
Abstract :
This paper introduces an invoice analysis approach using case-based reasoning (CBR). CBR is used to analyze and interpret new invoices thanks to the previous processing experiences. Each new document is segmented into structures and interpreted thanks to a structure database. Interpreting a new document´s structures relies on graph edit distance as well as on string edit distance. This paper focuses on document structure extraction as well as on document interpretation via its structures interpretation. The proposed system reaches an extraction and interpretation rate of 76.33%.
Keywords :
case-based reasoning; database management systems; document image processing; graph theory; case-based reasoning approach; document structure extraction; graph edit distance; string edit distance; structure database; unknown class invoice analysis approach; Data mining; Databases; Document image processing; Humans; Information analysis; Optical character recognition software; Pixel; Problem-solving; Tagging; Text analysis; Case-based reasoning; Document image processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location :
San Antonio, TX
ISSN :
1522-4880
Print_ISBN :
978-1-4244-1437-6
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2007.4379838
Filename :
4379838
Link To Document :
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