Dr Christian Clausner C.Clausner@salford.ac.uk
Senior Research Fellow
Dr Christian Clausner C.Clausner@salford.ac.uk
Senior Research Fellow
Prof Apostolos Antonacopoulos A.Antonacopoulos@salford.ac.uk
Professor
N McGregor
D Wilson-Nunn
This paper presents an objective comparative evaluation of page analysis and recognition methods for historical scientific manuscripts with text in Arabic language and script. It describes the competition (modus operandi, dataset and evaluation methodology) held in the context of ICFHR2018, presenting the results of the evaluation of six methods – three submitted and three baseline systems. The challenges for the participants included page segmentation, text line detection, and optical character recognition (OCR). Different evaluation metrics were used to gain an insight into the algorithms, including new character accuracy metrics to better reflect the difficult circumstances presented by the documents. The results indicate that, despite the challenging nature of the material, useful digitisation outputs can be produced.
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | 17th International Conference on Frontiers in Handwriting Recognition (ICFHR2018) |
Start Date | Aug 5, 2018 |
End Date | Aug 8, 2018 |
Acceptance Date | Jun 29, 2018 |
Online Publication Date | Dec 20, 2018 |
Publication Date | Dec 20, 2018 |
Deposit Date | Jan 29, 2019 |
Publicly Available Date | Jan 29, 2019 |
DOI | https://doi.org/10.1109/ICFHR-2018.2018.00088 |
Publisher URL | https://doi.org/10.1109/ICFHR-2018.2018.00088 |
Related Public URLs | http://icfhr2018.org/index.html |
ICFHR2018_Clausner_RASM.pdf
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