Wilson-Nunn, D;
Lyons, T;
Papavasiliou, A;
Ni, H;
(2018)
A Path Signature Approach to online Arabic Handwriting Recognition.
In: Alimi, Adel M. and Belaïd, A and Cheriet, M, (eds.)
Proceedings of the 2018 IEEE 2nd International Workshop on Arabic and Derived Script Analysis and Recognition (ASAR).
(pp. pp. 135-139).
IEEE: London, UK.
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Abstract
The Arabic script is one that has many properties that come together and result in what is commonly cited as one of the most beautiful scripts. Used by over 400 million people worldwide and with a history spanning over 1800 years, the Arabic script remains one of the most important languages in the world. Using tools from the theory of rough paths, combined with state of the art techniques from deep learning, we develop a recognition methodology for Arabic handwriting. Preliminary results using online Arabic handwritten characters show that the methodology developed can result in a significant decrease in error rate.
Type: | Proceedings paper |
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Title: | A Path Signature Approach to online Arabic Handwriting Recognition |
Event: | 2nd IEEE International Workshop on Arabic and Derived Script Analysis and Recognition (IEEE ASAR) |
Location: | Alan Turing Inst, London, ENGLAND |
Dates: | 12 March 2018 - 14 March 2018 |
ISBN-13: | 978-1-5386-1458-7 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1109/ASAR.2018.8480300 |
Publisher version: | https://doi.org/10.1109/ASAR.2018.8480300 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Mathematics |
URI: | https://discovery.ucl.ac.uk/id/eprint/10066168 |
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