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@inproceedings{1400938,
author = {Ha, Hien Thi},
address = {Brno, Czech Republic},
booktitle = {RASLAN 2017 Recent Advances in Slavonic Natural Language Processing},
edition = {first},
editor = {Horák A., Rychlý P., Rambousek A},
keywords = {classification; recognition; invoice; OCR; Czech},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Brno, Czech Republic},
isbn = {978-80-263-1340-3},
pages = {71-78},
publisher = {NLP Consulting},
title = {Recognition of Invoices from Scanned Documents},
url = {https://nlp.fi.muni.cz/raslan/raslan17.pdf#page=79},
year = {2017}
}
TY - JOUR
ID - 1400938
AU - Ha, Hien Thi
PY - 2017
TI - Recognition of Invoices from Scanned Documents
PB - NLP Consulting
CY - Brno, Czech Republic
SN - 9788026313403
KW - classification
KW - recognition
KW - invoice
KW - OCR
KW - Czech
UR - https://nlp.fi.muni.cz/raslan/raslan17.pdf#page=79
N2 - 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.
ER -
HA, Hien Thi. Recognition of Invoices from Scanned Documents. Online. In Horák A., Rychlý P., Rambousek A. \textit{RASLAN 2017 Recent Advances in Slavonic Natural Language Processing}. first. Brno, Czech Republic: NLP Consulting, 2017, s.~71-78. ISBN~978-80-263-1340-3.
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