Kader Smail | University of Maryland, College Park (original) (raw)
Address: 1102 Francis Scott Key Hall, University of Maryland College Park, MD 20742
less
Related Authors
Goethe-Universität Frankfurt am Main
Uploads
Edited Journals by Kader Smail
by Antoine Borrut, Luke Yarbrough, Kader Smail, Liana Saif, Gohar Grigoryan, Michael Pregill, Aurélien Montel, Alberto Bardi, Javier Albarrán, and Sarah Slingluff, PhD
Papers by Kader Smail
Digital Studies/le champ numérique (DSCN) Open Issue 2021, 2021
This work presents an accuracy study of the open source OCR engine, Kraken, on the leading Arabic... more 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 Arabic-script OCR. The study also assesses the relative accuracy of typeface-specific and generalized models on the al-Abhath data and provides a microanalysis of the “error instances” and the contextual features that may have contributed to OCR misrecognition. Building on this analysis, the paper argues that Arabic-script OCR can be significantly improved through (1) a more systematic approach to training data production, and (2) the development of key technological components, especially multi-language models and improved line segmentation and layout analysis./Cet article présente une étude d’exactitude du moteur ROC open source, Krakan, sur la revue académique arabe de premier rang, al-Abhath. Contrairement à d’autres moteurs ROC disponib...
by Antoine Borrut, Luke Yarbrough, Kader Smail, Liana Saif, Gohar Grigoryan, Michael Pregill, Aurélien Montel, Alberto Bardi, Javier Albarrán, and Sarah Slingluff, PhD
Digital Studies/le champ numérique (DSCN) Open Issue 2021, 2021
This work presents an accuracy study of the open source OCR engine, Kraken, on the leading Arabic... more 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 Arabic-script OCR. The study also assesses the relative accuracy of typeface-specific and generalized models on the al-Abhath data and provides a microanalysis of the “error instances” and the contextual features that may have contributed to OCR misrecognition. Building on this analysis, the paper argues that Arabic-script OCR can be significantly improved through (1) a more systematic approach to training data production, and (2) the development of key technological components, especially multi-language models and improved line segmentation and layout analysis./Cet article présente une étude d’exactitude du moteur ROC open source, Krakan, sur la revue académique arabe de premier rang, al-Abhath. Contrairement à d’autres moteurs ROC disponib...