The ability to understand the content and structure of documents as well as text that appears in the form of handwriting or scene text is critical for intelligent systems to operate and interact with humans. With advances from research in the past few decades, the area has moved from solutions that work with highly restricted data to real-world degraded noisy document images and those acquired using hand-held cameras or handwriting data captured by mobile devices. The fourth workshop on document analysis and recognition aims to provide a platform for researchers to present techniques for solving such problems and interact with their peers in academia and industry. The topics of interest include, but are not limited to:
The workshop will be held on Tuesday, 18th December 2018 in conjunction with the tenth Indian Conference on Computer Vision, Graphics, and Image Processing (ICVGIP) at the International Institute of Information Technology, Hyderabad, India. We invite researchers to submit their unpublished papers describing high-quality and original research in various application areas of document image analysis and recognition. In addition to contributory research papers, the workshop will also host invited talks.
The manuscript for submission should be prepared according to Springer LNCS format. The length of the manuscript should not exceed 12 pages.
To download the LNCS format and guidelines, click here.
To submit a paper use the CMT link.
For any queries please mail to: firstname.lastname@example.org
DAR 2018 will be a 100% participation, one day, single track workshop, featuring invited talks, oral and poster presentations.
DAR 2018 invites previously unpublished and original work. The submissions will undergo blind review, where the referees remain anonymous for the authors throughout the process. Papers should not exceed 12 pages in the LNCS format.
Submissions can be made at the DAR 2018 CMT link.
Selected papers will be published by CCIS, Springer.