HA, Hien Thi. Recognition of Invoices from Scanned Documents. Online. In Horák A., Rychlý P., Rambousek A. RASLAN 2017 Recent Advances in Slavonic Natural Language Processing. first. Brno, Czech Republic: NLP Consulting, 2017, p. 71-78. ISBN 978-80-263-1340-3.
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Basic information
Original name Recognition of Invoices from Scanned Documents
Authors HA, Hien Thi (704 Viet Nam, guarantor, belonging to the institution).
Edition first. Brno, Czech Republic, RASLAN 2017 Recent Advances in Slavonic Natural Language Processing, p. 71-78, 8 pp. 2017.
Publisher NLP Consulting
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW URL
RIV identification code RIV/00216224:14330/17:00099020
Organization unit Faculty of Informatics
ISBN 978-80-263-1340-3
ISSN 2336-4289
UT WoS 000426613500008
Keywords in English classification; recognition; invoice; OCR; Czech
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 18/5/2018 05:52.
Abstract
n this paper, we describe the work of recognition the first page of an invoice from a set of scanned business documents. This can be applied to document management systems, document analysis systems, pre-processing of information extraction systems. We also present our experiments on Czech and English invoice data set.
Links
MUNI/33/55939/2017, interní kód MUName: Ověření úspěšnosti technik zpracování přirozeného jazyka pro extrakci informací ze skenovaných dokumentů
Investor: Masaryk University
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