Baseline and region segmentation for modern Hebrew document pages, trained from scratch on synthetic pages; segmenter of the HeOCR R4d + A1 + R3h pipeline

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-07
DOI
https://doi.org/10.5281/zenodo.24023069
Primary Topic
Handwritten Text Recognition Techniques
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article
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article

Baseline and region segmentation for modern Hebrew document pages, trained from scratch on synthetic pages; segmenter of the HeOCR R4d + A1 + R3h pipeline

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

Baseline and region segmentation for modern Hebrew document pages, trained from scratch on synthetic pages; segmenter of the HeOCR R4d + A1 + R3h pipeline

Shay Palachy Affek, HeOCR maintainers
article en

Abstract

No abstract available for this paper.
Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 22%
Handwritten Text Recognition Techniques
DOIOpen Access PDFOpenAlex
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Baseline and region segmentation for modern Hebrew document pages, trained from scratch on synthetic pages; segmenter of the HeOCR R4d + A1 + R3h pipeline — Shay Palachy Affek, HeOCR maintainers · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS