Call For Papers
The International Conference on Document Analysis and Recognition (ICDAR) is the premier scientific venue in the field of document analysis and recognition. This conference brings together international experts from academia and industry to present their latest research findings, share their experiences and knowledge. Further, to promote research and development in all aspects of recognition and analysis of documents, with a particular focus on document image analysis. The 21st edition of this flagship conference will be held as an in-person event in Kuala Lumpur, Malaysia, during August 18 to 22, 2027.
Topics of interest to the conference include, but are not limited to:
Document image processing
Physical and logical layout analysis
Text and symbol recognition
Handwriting recognition
Document analysis systems
Document classification
Indexing and retrieval of documents
Document synthesis
Extracting document semantics
NLP for document image analysis
Office automation
Graphics recognition
Human document interaction
Document Representation Modeling
Private and secure document understanding
Text/Document Image generation
Multimedia document analysis
Mobile text recognition
Pen-based document analysis
Scene text detection and recognition
Recognition of tables and formulas
Historical document analysis
Signature verification
Document summarization and translation
Document forensics and provenance
Medical document analysis
Document analysis for literature search
Gold-standard benchmarks and datasets
Foundation models for document understanding
Multimodal LLMs for documents
Agent for document AI
Document reasoning model
Other applications
Conference Paper Submissions:
Authors are invited to submit full-length papers describing original work of not more than 17 pages, including figures and references. In addition to conference paper submission, there is a separate journal track at ICDAR 2027, the details of which can be found in ICDAR-IJDAR Journal track.
The review of 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. Authors will be given the opportunity to respond to reviews in a rebuttal phase.
Submitted papers must adhere to the Springer Lecture Notes in Computer Science (LNCS) format (Springer Guidelines/Templates).
CMT (Conference Management Toolkit) will be used for submission. Detailed submission instructions for authors including the submission link, can be found in the paper submission instructions.
ICDAR 2027 will present awards for the best paper, the best student paper, the best poster paper, and the best industry paper presented at the conference.
Important Notes:
Manuscripts not adhering to the page limit (maximum 17 pages all included), the formatting guidelines (Springer Lecture Notes format) or the anonymization requirements will be rejected without review.
Authors wishing to submit their manuscript to a pre-publication service (such as, for example arXiv.org) may do so. Likewise, links to GitHub websites for sharing data and code are permitted. Reviewers will be advised not to attempt to determine the identity of authors by searching for that information within online sources such as this.
The authorship of submitted manuscripts is final. No changes to the list of authors will be allowed once a paper has been submitted!
Dual submissions of manuscripts to other venues in parallel to ICDAR 2027 are prohibited!
Important Dates (All deadlines are strict at 23:59 AOE. There will be no extension)
Abstracts Deadline: January 31,2027
Full Paper Deadline: February 20, 2027
Reviews to Authors: April 20, 2027
Rebuttal Deadline: April 27, 2027
Acceptance Notification: May 15, 2027
Camera-ready Deadline: June 5, 2027
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.
Program Chairs of ICDAR 2027:
Shivakumara Palaiahnakote, UK
Jean-Christophe Burie, France
Lianwen Jin, China