Automatic Information Extraction from Scanned Documents

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F20%3A43959827" target="_blank" >RIV/49777513:23520/20:43959827 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/book/10.1007/978-3-030-60276-5" target="_blank" >https://link.springer.com/book/10.1007/978-3-030-60276-5</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-60276-5_9" target="_blank" >10.1007/978-3-030-60276-5_9</a>

Result language
angličtina
Original language name
Automatic Information Extraction from Scanned Documents
Original language description
This paper deals with the task of information extraction from a structured document scanned by an ordinary office scanner device. It explores the processing pipeline from scanned paper documents to the extraction of searched information such as names, addresses, dates, and other numerical values. We propose system design decomposed into four consecutive modules: preprocessing, optical character recognition, information extraction with a database, and information extraction without a database. In the preprocessing module, two essential techniques are presented – image quality improvement and image deskewing. Optical Character Recognition solutions and approaches to information extraction are compared using the whole system performance. The best performance of information extraction with the database was obtained by the Locality-sensitive Hashing algorithm.
Czech name
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Czech description
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Project
<a href="/en/project/LO1506" target="_blank" >LO1506: Sustainability support of the centre NTIS - New Technologies for the Information Society</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Speech and Computer, 22nd International Conference, SPECOM 2020, St. Peterburg, Russia, October 7-9,2020, Proceedings
ISBN
978-3-030-60275-8
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
10
Pages from-to
87-96
Publisher name
Springer
Place of publication
Cham
Event location
Saint Petersburg, Russia
Event date
Oct 7, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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