7th International Workshop on Camera Based Document Analysis and Recognition (CBDAR 2017)
To be held in Kyoto, Japan, on November 11th, 2017 in conjunction with ICDAR 2017.
Location: Conference Room D, East building, 3rd Floor.
The pervasiveness and widespread availability of camera phones, hand-held digital still/video cameras and more recently wearable cameras have led the community to recognize camera captured images as a promising and growing field of research for document analysis and recognition. Document digitization techniques are gradually getting closer to camera based solutions, offering certain advantages (e.g. for scanning large scale or fragile documents), and presenting interesting new challenges and open problems which cannot be directly resolved by traditional techniques.
Building on the success of the previous six CBDAR workshops in 2005 (Seoul, Korea), 2007 (Curitiba, Brazil), 2009 (Barcelona, Spain), 2011 (Beijing, China), 2013 (Washington DC, USA), and 2015 (Nancy, France), CBDAR 2017 will be held in Kyoto, Japan in conjunction with ICDAR 2017. The aim of the workshop is to provide a natural link between document image analysis and the wider computer vision community by attracting cutting edge research on the topic.
- Submission Deadline: July 15, 2017
- Notification: August 11, 2017
- Camera Ready: August 30, 2017
- Workshop: November 11, 2017
Submission Information & Publications
CBDAR 2017 invites the submission of original, previously unpublished work and welcomes re-submissions of improved versions of papers that have been rejected in the ICDAR conference reviewing process.
Workshop proceedings with accepted papers will be published by the IEEE.
More information here: Paper Submission
Special Session: ICDAR Robust Reading Competitions
In this 7th edition a special session will be organised around the ICDAR Robust Reading Competitions with oral/poster presentations of participating methods. The goal of this session is to provide a space for debate about Robust Reading methods, datasets, and future challenges.
For this session we invite the submission of previously published papers or unpublished abstracts of methods participating in any of the ICDAR Robust Reading Competitions.
Papers in this session will be compiled and linked on the workshop website, but will NOT appear in the ICDAR workshop proceedings.
For submission, please send an email titled with "[CBDAR2017 Robust Reading Session Submission] Your Name - Your Paper Title" to to email@example.com. The email should contain the link to your paper. There is no requirement on paper format or page limitation. We recommend the IEEE CS formatting style with 6 pages. The submission will be reviewed by workshop chairs. Accepted papers will be presented as orals/posters at the workshop in the Robust Reading special session.
CBDAR 2017 is an IAPR endorsed conference. CBDAR 2017 organisers are bound by the IAPR Statement of Ethics.