Please feel free to forward this call to your colleagues, networks and contacts who might be interested.

 

 

 

Venue: The Alan Turing Institute, London, United Kingdom

Dates: 12-14 March 2018

 

Website: http://asar.ieee.tn

E-mail:  asar@ieee.tn 

 

Paper submission: December 1, 2017

Acceptance: January 2, 2018

Camera-ready due: February 1, 2018

 

Publication: Proceedings: Registered and Presented papers will be submitted for inclusion into IEEE Xplore as well as other Abstracting and Indexing (A&I) databases. 

Authors of some selected accepted papers presented at ASAR workshop will be invited to submit extended versions of their manuscripts for consideration in related international Journals.

2017 Proceedings: <link>

 

Umapada Pal (Indian Statistical Institute, India)

Volker Märgner (Technische Universität Braunschweig, Germany)

Daniel Lowe (The British Library, United Kingdom)

Tilman Seidensticker (Friedrich-Schiller-Universität Jena, Germany)

 

IEEE Region 8 VCF: www.ieeer8.org/category/voluntary-contribution-fund/

IEEE Women In Engineering: http://wie.ieee.org/travel-grant/ 

 

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It is our pleasure to invite you to participate in the 2nd IEEE International Workshop on Arabic and derived Script Analysis and Recognition (ASAR 2018), which will be hosted by the Alan Turing Institute, London, in collaboration with the LORIA laboratory (University Lorraine, France) and REGIM-Lab. (University of Sfax, Tunisia), and will be held in London (United Kingdom) on March 12-14, 2018.

ASAR 2018 is technically co-sponsored by IEEE Region 8, IEEE UK&IR section, IEEE Tunisia section, and IAPR.

The ASAR workshop provides an excellent opportunity for researchers and practitioners at all levels of experience to meet colleagues and to share new ideas and knowledge about Arabic and derived script document analysis and recognition methods. The workshop enjoys strong participation from researchers in both industry and academia.

 

The workshop program will include keynote speakers, discussion sessions, and oral sessions.

 

Topics include but are not limited to the following:

Printed/Handwritten text recognition

Arabic Document image watermarking

Word spotting

Forensic Arabic document analysis

Language and script recognition

Historical Arabic document analysis

Authoring, annotation, and presentation systems

Pen-based user interface

Camera-based Arabic document image analysis

Arabic Document retrieval systems

Arabic Document analysis for mobile devices, for the internet

Information extraction

Arabic Document databases and digital libraries

Arabic Document understanding

Multilingual Arabic document analysis

Performance evaluation

 

 

We invite your organisation to be a sponsor. It will play an essential role for the success of the workshop. We expect to welcome experts and researchers from all over the world and numerous high-ranking guests. Therefore, we anticipate extensive coverage of the event.

To take advantage of these opportunities and to help enhance them, corporations, research centers, universities and individuals are invited to become sponsors of ASAR workshop. It will be a good opportunity to present your enterprise and your expertise to a distinguished audience.

We are looking forward to a successful cooperation with you!

 

The Alan Turing Institute is the UK’s national institute for data science. Five universities – Cambridge, Edinburgh, Oxford, University College London and Warwick – and the UK Engineering and Physical Sciences Research Council (the main UK government agency for funding research and training in engineering and the physical sciences) created The Alan Turing Institute in 2015.  The mission of The Alan Turing Institute is to make great leaps in data science research in order to change the world for the better. The Institute’s goals are to undertake world-class research in data science, apply its research to real-world problems, driving economic impact and societal good, lead the training of a new generation of data scientists, and shape the public conversation around data.

Website: www.turing.ac.uk

 

We are looking forward to a successful cooperation with you!

 

Adel M. Alimi, Univesity of Sfax, Tunisia 

Abdel Belaïd, University of Lorraine, France 

Mohamed Cheriet, ÉTS, University of Quebec, Canada 

Terry Lyons, The Alan Turing Institute & University of Oxford, United Kingdom