DRR: Document Recognition and Retrieval



Past:   Proceedings on DBLP

Future:  Post a CFP for 2016 or later   |   Invite the Organizers Email


All CFPs on WikiCFP

Event When Where Deadline
DRR 2015 Document Recognition and Retrieval XXII
Feb 11, 2015 - Feb 12, 2015 San Francisco, Calif., USA Jul 28, 2014
DRR 2014 Document Recognition and Retrieval XXI
Feb 4, 2014 - Feb 6, 2014 San Francisco, CA, USA Aug 2, 2013
DRR 2013 20th Document Recognition and Retrieval Conference
Feb 5, 2013 - Feb 7, 2013 Burlingame, CA Aug 10, 2012
DRR 2012 Document Recognition and Retrieval XIX
Jan 22, 2012 - Jan 26, 2012 San Francisco Jul 11, 2011
DRR 2011 Document Recognition and Retrieval XVIII
Jan 23, 2011 - Jan 27, 2011 San Francisco, CA Jun 28, 2010
DRR 2008 Document Recognition and Retrieval XVI
Jan 21, 2009 - Jan 21, 2009 San Jose, CA, USA Jun 16, 2008

Present CFP : 2015



Document Recognition and Retrieval XXII (DRR 2015)

San Francisco, February 11-12, 2015

The Submission deadline has been extended to 28 July 2014.

Document Recognition and Retrieval (DRR) is one of the leading international conferences devoted to current research in document analysis, recognition and retrieval. The 22nd Document Recognition and Retrieval Conference is being held as part of the IS&T/SPIE Electronic Imaging Symposium taking place in San Francisco, California, USA. The conference venue and hotel will be the Hilton San Francisco Union Square. DRR specifically will take place February 11-12, 2015.

The Conference Chairs and Program Committee invite all researchers working on document recognition and retrieval to submit original research papers. Papers are presented in oral and poster sessions at the conference, along with invited talks by leading researchers. Accepted papers will be published by the SPIE in the conference proceedings. Papers will also be indexed by DBLP. At the conference a Best Student Paper Award will be presented. Papers are solicited in, but not limited to, the areas below.


* Text recognition: machine-printed documents, handwritten documents; paper, tablet, camera, and video sources
* Writer/style identification, verification, and adaptation
* Graphics recognition: vectorization (e.g. for line-art, maps and technical drawings), signature, logo and graphical symbol recognition, figure, chart and graph recognition, and diagrammatic notations (e.g. music, mathematical
* Document layout analysis and understanding: document and page region segmentation, form and table recognition, and document understanding through combined modalities (e.g. speech and images)
* Evaluation: performance metrics, document degradation models, data collection, benchmarking, ground-truthing
* Additional topics: document image filtering, enhancement and compression, document clustering and classification, machine learning (e.g. integration and optimization of recognition modules), historical and degraded document images (e.g. fax), multilingual document recognition, and web page analysis (including wikis and blogs).


* Indexing and summarization: text documents (messages, blogs, etc.), imaged documents, entity tagging from OCR output, and text categorization
* Query languages and modalities: content-based image retrieval (CBIR) for documents, keyword spotting, non-textual query-by-example (e.g. tables, figures, math), querying by document geometry and/or logical structure, approximate string matching algorithms for OCR output, retrieval of noisy text documents (messages, blogs, etc.), cross and multi-lingual retrieval
* Discovery and browsing: pattern discovery, trend mining, topic modeling and analysis, clustering
* Evaluation: relevance and performance metrics, evaluation protocols, and benchmarking
* Additional topics: relevance feedback, impact of recognition accuracy on retrieval performance, and digital libraries including systems engineering and quality assurance.


* 28 July 2014, 11:59pm PST: Submission deadline: Full Paper for Review – Deadline extended
* 7 October 2014: Author notifications
* 1 December 2014: Submission deadline: Manuscript for On-site Proceedings
* 11-12 February 2015: Conference


Standard minimum paper length for all SPIE events is 6 pages. However, for DRR, we strongly encourage the authors to submit longer papers (ideally 8-12 pages). The review process will take into account both the quality and the depth of development of the scientific and experimental content of a paper. Papers should clearly identify the problem addressed in the work, identify the original contribution(s) of the paper, relate the paper to previous work, justify and document the methods of the paper, and provide substantive experimental and/or theoretical evaluation. The program committee will favor papers that take advantage of the opportunity to develop, argue, and provide compelling experimental evidence.

Submissions should be prepared and submitted through the SPIE conference website by following directions given here:


For more information visit http://nlp.cs.byu.edu/drr2015 .

Questions concerning the conference may also be addressed to: drr2015@googlegroups.com


* Eric K. Ringger, Brigham Young Univ. (United States)
* Bart Lamiroy, Université de Lorraine & LORIA (France)


* Gady Agam, Illinois Institute of Technology (United States)
* Sameer K. Antani, National Library of Medicine (United States)
* Elisa H. Barney Smith, Boise State Univ. (United States)
* William A. Barrett, Brigham Young Univ. (United States)
* Kathrin Berkner, Ricoh Innovations, Inc. (United States)
* Bertrand Coüasnon, Institut National des Sciences Appliquées de Rennes
* Hervé Déjean, Xerox Research Ctr. Europe Grenoble (France)
* Xiaoqing Ding, Tsinghua Univ. (China)
* David S. Doermann, Univ. of Maryland, College Park (United States)
* Jianying Hu, IBM Thomas J. Watson Research Ctr. (United States)
* Ergina Kavallieratou, Univ. of the Aegean (Greece)
* Christopher Kermorvant, A2iA SA (France)
* Laurence Likforman-Sulem, Telecom ParisTech (France)
* Xiaofan Lin, A9.com, Inc. (United States)
* Marcus Liwicki, Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (Germany)
* Daniel P. Lopresti, Lehigh Univ. (United States)
* Umapada Pal, Indian Statistical Institute (India)
* Sargur N. Srihari, Univ. at Buffalo (United States)
* Venkata Subramaniam, IBM India Research Lab. (India)
* Kazem Taghva, Univ. of Nevada, Las Vegas (United States)
* George R. Thoma, National Library of Medicine (United States)
* Christian Viard-Gaudin, Univ. de Nantes (France)
* Berrin Yanikoglu, Sabanci Univ. (Turkey)
* Pingping Xiu, Microsoft (United States)
* Richard Zanibbi, Rochester Institute of Technology (United States)
* Jie Zou, National Library of Medicine (United States)

Related Resources

CVPR 2024   The IEEE/CVF Conference on Computer Vision and Pattern Recognition
CIKM 2023   Conference on Information and Knowledge Management
MLDM 2024   20th International Conference on Machine Learning and Data Mining
DocEng 2023   The 23rd ACM Symposium on Document Engineering
CFIMA 2023   2023 3rd International Conference on Frontiers of Intelligent Manufacturing and Automation (CFIMA 2023)
CCCIoT 2024   5th International Conference on Cloud Computing and IoT
Springer ISPR'2024   The 4'th International Conference on Intelligent Systems and Pattern Recognition
CVPR&ML 2024   CFP - Special Issue New Trends in Computer Vision, Pattern Recognition and Machine Learning
MDA 2024   19th International Conference on Mass Data Analysis of Images and Signals with Applications in Medicine, r/g/b Biotechnology, Food Industries and Dietetics, Biomet
SCIDOCA 2023   Seventh International Workshop on SCIentific DOCument Analysis