When Tesseract Does It Alone: Optical Character Recognition of Medieval Texts

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Rok publikování 2020
Druh Článek ve sborníku
Konference Proceedings of the Fourteenth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2020
Fakulta / Pracoviště MU

Fakulta informatiky

Citace
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Klíčová slova Optical character recognition; OCR; Historical texts
Popis

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.

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.

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.

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