It is our pleasure to invite you to participate in the 3rd International Workshop on Arabic and derived Script Analysis and Recognition (ASAR 2019), which will be organized on 20-21 September 2019 in Sydney – Australia, in conjuction with ICDAR (15th International Conference on Document Analysis and Recognition).
The workshop is organized by LORIA laboratory (University Lorraine, France) and REGIM-Lab. (University of Sfax, Tunisia), in partnership with IEEE Tunisia Section and its IEEE Computer Society chapter.
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.
Relevant topics and technologies
- Printed/Handwritten text recognition
- Word spotting
- Machine and deep learning for script recognition
- Arabic (and derived scripts) recognition in the context of Big Data
- Language models
- Natural language for textual image processing
- Multimedia processing
- Forensic Arabic (and derived) document analysis
- Historical Arabic (and derived) document analysis
- Authoring, annotation, and presentation systems
- Pen-based user interface
- Camera-based Arabic (and derived) document image analysis
- Arabic (and derived) Document retrieval systems
- Arabic (and derived) Document analysis for mobile devices, for the internet
- Arabic (and derived) Document databases and digital libraries
- Arabic (and derived) Document understanding
- Arabic (and derived script) recognition for Smart Systems
- Computational Imaging
* Derived languages includes: Pashto, Urdu, Persian, Jawi, Uyghur, Kurdish, etc.
Authors of some selected accepted papers presented at ASAR will be invited to submit extended versions of their manuscripts for consideration in related international Journals.
Professor, SEECS, NUST
Director, TUKL-NUST Research & Development Center
President, Pakistani Pattern Recognition Society (PPRS)
Title: Urdu OCR: A journey from hand-crafting to deep learning