Recognition model for historical Samaritan Manuscripts for one column pages, model trained on 13 pentateuchal Samaritan manuscripts

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-20
DOI
https://doi.org/10.5281/zenodo.13814199
Primary Topic
Handwritten Text Recognition Techniques
Type
article
Field-Weighted Citation Impact
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article

Recognition model for historical Samaritan Manuscripts for one column pages, model trained on 13 pentateuchal Samaritan manuscripts

Zenodo (CERN European Organization for Nuclear Research)
Handwritten Text Recognition Techniques
article

Recognition model for historical Samaritan Manuscripts for one column pages, model trained on 13 pentateuchal Samaritan manuscripts

article en

Abstract

No abstract available for this paper.
Zenodo (CERN European Organization for Nuclear Research)
Rathenau Instituut (NL)
Openalex Percentile: Top 61%
Handwritten Text Recognition Techniques
DOIOpen Access PDFOpenAlex
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Recognition model for historical Samaritan Manuscripts for one column pages, model trained on 13 pentateuchal Samaritan manuscripts · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS