Recognition of Invoices from Scanned Documents
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F17%3A00099020" target="_blank" >RIV/00216224:14330/17:00099020 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Recognition of Invoices from Scanned Documents
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
RASLAN 2017 Recent Advances in Slavonic Natural Language Processing
ISBN
9788026313403
ISSN
2336-4289
e-ISSN
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Number of pages
8
Pages from-to
71-78
Publisher name
NLP Consulting
Place of publication
Brno, Czech Republic
Event location
Karlova Studanka, Czech Republic
Event date
Dec 1, 2017
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
000426613500008