D 2017

Recognition of Invoices from Scanned Documents

HA, Hien Thi

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

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

RIV identification code

RIV/00216224:14330/17:00099020

Organization unit

Faculty of Informatics

ISBN

978-80-263-1340-3

ISSN

UT WoS

000426613500008

Keywords in English

classification; recognition; invoice; OCR; Czech

Tags

International impact, Reviewed
Změněno: 18/5/2018 05:52, RNDr. Pavel Šmerk, Ph.D.

Abstract

V originále

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 MU
Name: Ověření úspěšnosti technik zpracování přirozeného jazyka pro extrakci informací ze skenovaných dokumentů
Investor: Masaryk University