The 19th International Conference on
Document Analysis and
Recognition
September 16-21, 2025 Wuhan, Hubei, China
The 19th International Conference on
Document Analysis and
Recognition
September 16-21, 2025 Wuhan, Hubei, China
Call for Papers
Important dates
Feb 28, 2025 (11:59 PST): Conference title & abstract submission deadline
Mar 14, 2025 (23:59 PST): Conference full paper uploaded and editing closed
Mar 19, 2025: Conference paper supplementary materials deadline
June 6, 2025: Conference paper acceptatnce notification
June 20, 2025: Camera-ready and author registration deadline
Organizing Committee
ICDAR is the premier event fSor scientists and practitioners involved with document analysis and recognition, a field of growing importance in our current age of digital transition. The 19th edition of this flagship conference will beheld in Wuhan, September 16-21, 2025.
Paper Submission:
There is both a standard conference paper track and a journal track at ICDAR 2025; details regarding the journal track maybe found in a separate Call for Journal Track.
Reviewing for conference papers will be double blind. Authors should not include their names, affiliations, or acknowledgements in submitted manuscripts, and should ensure that their identity is not revealed indirectly by citing their earlier work in the third person.
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PC Chairs
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Tutorial Chairs
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Workshop Chairs
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Competition Chairs
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Publicity Chairs
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Publication Chairs
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Finance Chair
Local Arrangement
Chairs
Cheng-Lin Liu (China)
Simone Marinai (Italy)
Umapada Pal (India)
Xiang Bai (China)
Xu-Cheng Yin (China)
Dimothenis Karatzas (Spain)
Daniel Lopresti (USA)
Jun Sun (China)
Apostolos Antonacopoulos (UK)
Lianwen Jin (China)
Richard Zanibbi (USA)
Veronique Eglin (France)
Zhouhui Lian (China)
Mickael Coustaty (France)
Ron Litman (Amazon, USA)
Jean-Marc Ogier (France)
David Doermann (USA)
Anna Zhu (China)
Xu-Yao Zhang (China)
Yingying Zhu (China)
Yongchao Xu (China)
Lai Tu (China)
Jianjie Wu(China)
Papers should be formatted according to the instructions and style files provided by Springer. The LaTeX template for LNCS can be downloaded here. It is also available on Overleaf.
Papers are limited to 15 pages (not including references). Papers that do not meet these requirements will be desk rejected. The accepted papers for ICDAR 2025 will be presented in Oral or Poster presentation forms. All papers should be submitted electronically via the online submission form here (https://cmt3.research.microsoft.com/ICDAR2025).
Be careful, complete, and accurate when submitting papers. No changes in paper authorship will be permitted after a paper has been submitted.
No-show papers (papers not presented at the conference in person by one of the authors) will not be eligible for a best paper award, and the author(s) of the paper will not receive a conference participation certificate. If an author is unable to attend in person due to an unsuccessful visa application or other insurmountable difficulties, they should immediately contact the conference organizers and the Program Chairs who will determine whether an online presentation can be made instead. In any case, whether the presentation is in person or online, authors must obey the same rules regarding the conference registration process.
Topics of Interest:
Document image processing Structured document generation
Physical and logical layout analysis Multimedia document analysis
Text and symbol recognition Mobile text recognition
Handwriting recognition Pen-based document analysis
Document analysis systems Scene text detection and recognition
Document classification Recognition of tables and formulas
Indexing and retrieval of documents Historical document analysis
Document synthesis Signature verification
Extracting document semantics Document summarization and translation
NLP for document understanding Document forensics and provenance
Office automation Medical document analysis
Graphics recognition Document analysis for social good
Human document interaction Document analysis for literature search
Document Representation Modeling Gold-standard benchmarks and datasets
Document VQA Foundation models (Large Multimodal
Private and secure Models) for document understanding document understanding
Publication: Springer Lecture Notes in Computer Science
The conference proceedings will be published as part of the Springer Lecture Notes in Computer Science (LNCS) series. Accepted papers will be freely available through SpringerLink from the conference website for one year after publication, and will later be freely available through SpringerLink four years after publication.
Contact:
Xu-Cheng Yin <xuchengyin@ustb.edu.cn>
Dimosthenis Karatzas <dimos@cvc.uab.es>
Daniel Lopresti <lopresti@cse.lehigh.edu>