When Tesseract Meets PERO : Open-Source Optical Character Recognition of Medieval Texts

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F22%3A00127481" target="_blank" >RIV/00216224:14330/22:00127481 - isvavai.cz</a>

Výsledek na webu

<a href="https://raslan2022.nlp-consulting.net/" target="_blank" >https://raslan2022.nlp-consulting.net/</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

When Tesseract Meets PERO : Open-Source Optical Character Recognition of Medieval Texts

Popis výsledku v původním jazyce

Conversion of scanned images to the text form, denoted as optical character recognition or OCR, 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. In our previous work, we developed an end-to-end image-to-text pipeline (via optical character recognition) for medieval texts, named AHISTO OCR, and we released it together with our test dataset under open licenses. However, the published system relied on the closed-source Google Vision AI service as one component, which made the experiments less reproducible. In this work, we replace Google Vision AI with an open-source OCR algorithm named PERO and we show that this not only makes the AHISTO OCR pipeline open, but also improves the performance of the system. We release the updated AHISTO OCR system and its test results again under open licenses.

Název v anglickém jazyce

When Tesseract Meets PERO : Open-Source Optical Character Recognition of Medieval Texts

Popis výsledku anglicky

Conversion of scanned images to the text form, denoted as optical character recognition or OCR, 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. In our previous work, we developed an end-to-end image-to-text pipeline (via optical character recognition) for medieval texts, named AHISTO OCR, and we released it together with our test dataset under open licenses. However, the published system relied on the closed-source Google Vision AI service as one component, which made the experiments less reproducible. In this work, we replace Google Vision AI with an open-source OCR algorithm named PERO and we show that this not only makes the AHISTO OCR pipeline open, but also improves the performance of the system. We release the updated AHISTO OCR system and its test results again under open licenses.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10200 - Computer and information sciences

Projekt

<a href="/cs/project/LM2018101" target="_blank" >LM2018101: Digitální výzkumná infrastruktura pro jazykové technologie, umění a humanitní vědy</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the Sixteenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2022.

ISBN

9788026317524

ISSN

2336-4289

e-ISSN

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Počet stran výsledku

4

Strana od-do

157-160

Název nakladatele

Tribun EU

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

1. 1. 2022

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

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