DocumentCode
3020689
Title
Universal data capture technology from semi-structured forms
Author
Tuganbaev, Diar ; Pakhchanian, Aram ; Deryagin, Dmitry
Author_Institution
ABBYY Software House, Moscow, Russia
fYear
2005
fDate
29 Aug.-1 Sept. 2005
Firstpage
458
Abstract
This paper describes a universal technology for automated data capture from documents with similar data but different layouts, such as invoices, claim forms, resumes, contracts, loan documents, etc. Prior to data capture, the relevant data are detected on the document image. A formalization of top-down document analysis is suggested and a language for describing document structures is presented. Formalized descriptions in this language can be compiled into executable code. The process of matching such formalized descriptions with actual semi-structured documents in order to find the relevant data is described.
Keywords
document image processing; string matching; formalized descriptions; semistructured documents; top-down document analysis; universal automated data capture technology; Biomedical imaging; Boosting; Contracts; Data mining; Filling; Image databases; Medical diagnostic imaging; Printing; System testing; Text analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Analysis and Recognition, 2005. Proceedings. Eighth International Conference on
ISSN
1520-5263
Print_ISBN
0-7695-2420-6
Type
conf
DOI
10.1109/ICDAR.2005.247
Filename
1575588
Link To Document