When Tesseract Does It Alone: Optical Character Recognition of Medieval Texts
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F20%3A00117104" target="_blank" >RIV/00216224:14330/20:00117104 - isvavai.cz</a>
Result on the web
<a href="https://nlp.fi.muni.cz/raslan/raslan20.pdf#page=11" target="_blank" >https://nlp.fi.muni.cz/raslan/raslan20.pdf#page=11</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
When Tesseract Does It Alone: Optical Character Recognition of Medieval Texts
Original language description
<p>Optical character recognition of scanned images for contemporary printed texts is widely considered a solved problem. However, the optical character recognition of early printed books and reprints of Medieval texts remains an open challenge.</p> <p>In our work, we present a dataset of 19th and 20th century letterpress reprints of documents from the Hussite era (1419–1436) and perform a quantitative and qualitative evaluation of speed and accuracy on six existing OCR algorithms.</p> <p>We conclude that the Tesseract family of OCR algoritms is the fastest and the most accurate on our dataset, and we suggest improvements to our dataset.</p>
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
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Fourteenth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2020
ISBN
9788026316008
ISSN
2336-4289
e-ISSN
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Number of pages
10
Pages from-to
3-12
Publisher name
Tribun EU
Place of publication
Brno
Event location
online
Event date
Dec 8, 2020
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
000655471300001