Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Benjamin Kiessling"'
Publikováno v:
Digital Studies, Vol 11, Iss 1 (2021)
This work presents an accuracy study of the open source OCR engine, Kraken, on the leading Arabic scholarly journal, al-Abhath. In contrast with other commercially available OCR engines, Kraken is shown to be capable of producing highly accurate Arab
Externí odkaz:
https://doaj.org/article/760a1fc563cc4452802b9e59b0b5906a
Autor:
Alan J. Wecker, Vered Raziel-Kretzmer, Benjamin Kiessling, Daniel Stökl Ben Ezra, Moshe Lavee, Tsvi Kuflik, Dror Elovits, Moshe Schorr, Uri Schor, Pawel Jablonski
Publikováno v:
Journal on Computing and Cultural Heritage. 15:1-20
Making ancient handwritten manuscripts accessible to the general public is challenging, for several reasons. Foremost, they are handwritten. Each and every one is unique, so there is a need for manual transcription for providing enough examples for t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d73375eeb26b7484fab6728ea0ca0892
https://doi.org/10.1145/3476776
https://doi.org/10.1145/3476776
Autor:
Benjamin Kiessling
This is an experimental recognition model for Fraktur prints trained on Austrian, Swiss, and Swedish newspapers, collections of the university library of Mannheim and Göttingen and the OCR-D corpus.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3c1a294c606461c5f4f171df6a06a89
Autor:
Benjamin Kiessling
This is a text recognition model trained on the OpenITI dataset of printed Arabic-script text available at [0] in its state of 2022-09-03. It encompasses Urdu (~11k lines) material in a variety of typefaces. The model has been obtained by fine-tuning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8af6c719ae9267d49aa30792c72c77f6
Autor:
Benjamin Kiessling
This is a text recognition model trained on the OpenITI dataset of printed Arabic-script text available at [0] in its state of 2022-09-03. It encompasses Ottoman (~7100 lines) material in a variety of typefaces. The model has been obtained by fine-tu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5de161b621811a6bc7be3a39bd7dc7b
Autor:
Benjamin Kiessling
This is a text recognition model trained on the OpenITI dataset of printed Arabic-script text available at [0] in its state of 2022-09-03. It encompasses real world Arabic (~23k lines) material in a variety of typefaces augmented by synthetic data in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92fbd0530f0b37feec40d002b10a388f
Autor:
Benjamin Kiessling
This is a text recognition model trained on the OpenITI dataset of printed Arabic-script text available at [0] in its state of 2022-09-03. It encompasses Persian (~17k lines) material in a variety of typefaces. The model has been obtained by fine-tun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3843b2effdba128de7dd592d67f2f39e
Autor:
Benjamin Kiessling
Printed Arabic-Script Base Model Trained on the OpenITI Corpus ============================================================== This is a text recognition model trained on the OpenITI dataset of printed Arabic-script text available at [0] in its state
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5bf51f20e2be6813806ea78a77c7639
Autor:
Benjamin Kiessling
Publikováno v:
Frontiers in Handwriting Recognition ISBN: 9783031216473
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec0f796c8ff32c815f0e55f9b5d87d0e
https://doi.org/10.1007/978-3-031-21648-0_3
https://doi.org/10.1007/978-3-031-21648-0_3
Autor:
Alexey Pechorin, Daniel Stökl Ben Ezra, Bronson Brown-deVost, Nachum Dershowitz, Benjamin Kiessling
Publikováno v:
ICFHR
Most of the Dead Sea Scrolls have now been digitally transcribed and imaged to very high standards. Our goal is to align the transcriptions with the text visible in the image, glyph by (often fragmentary) glyph. This involves several tasks, normally
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8751645d0cdbe6e47bed0cad2a6df717
https://doi.org/10.1109/icfhr2020.2020.00072
https://doi.org/10.1109/icfhr2020.2020.00072