Hebrew printed-text recognition for Tesseract, fine-tuned from tessdata_best heb on real public-domain NLI scans with Project Ben-Yehuda text (HeOCR R6)

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-10
DOI
https://doi.org/10.5281/zenodo.24109988
Primary Topic
Handwritten Text Recognition Techniques
Type
article
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article

Hebrew printed-text recognition for Tesseract, fine-tuned from tessdata_best heb on real public-domain NLI scans with Project Ben-Yehuda text (HeOCR R6)

Shay Palachy Affek, HeOCR maintainers
Zenodo (CERN European Organization for Nuclear Research)
Handwritten Text Recognition Techniques
article

Hebrew printed-text recognition for Tesseract, fine-tuned from tessdata_best heb on real public-domain NLI scans with Project Ben-Yehuda text (HeOCR R6)

Shay Palachy Affek, HeOCR maintainers
article en

Abstract

No abstract available for this paper.
Zenodo (CERN European Organization for Nuclear Research)
Handwritten Text Recognition Techniques
DOIOpen Access PDFOpenAlex
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Hebrew printed-text recognition for Tesseract, fine-tuned from tessdata_best heb on real public-domain NLI scans with Project Ben-Yehuda text (HeOCR R6) — Shay Palachy Affek, HeOCR maintainers · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS