Using physical and logical constraints for invoice understanding

Citation
F. Cesarini et al., Using physical and logical constraints for invoice understanding, PATTERN A A, 3(2), 2000, pp. 182-195
Citations number
23
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
PATTERN ANALYSIS AND APPLICATIONS
ISSN journal
14337541 → ACNP
Volume
3
Issue
2
Year of publication
2000
Pages
182 - 195
Database
ISI
SICI code
1433-7541(2000)3:2<182:UPALCF>2.0.ZU;2-5
Abstract
This work presents a methodology for invoice understanding. The invoices of our domain can be grouped into classes according to their logo. The unders tanding phase is based on two knowledge levels: a specific knowledge for ea ch class, called a document model; and knowledge on the whole domain of int erest, called a domain model. The invoices of a known class are understood by its document model, while the invoices of an unknown class are understoo d by using the domain model. The main contribution of this work is related to the use of the physical and logical constraints of the domain of interes t for document understanding, without using an OCR system. Our approach has been tested by some experiments that are intended to identify some regions within invoices of unknown classes. In most cases, the results have shown the reliability of the approach.