会議情報
ICDAR 2026: International Conference on Document Analysis and Recognition
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提出日: |
2026-02-27 |
通知日: |
2026-05-15 |
会議日: |
2026-08-30 |
場所: |
Vienna, Austria |
年: |
20 |
CCF: c CORE: a QUALIS: a2 閲覧: 93602 追跡: 81 出席: 20
論文募集
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 results, share their experiences and to promote research and development in all aspects of recognition and analysis of documents, with a particular focus on document image analysis. The 20th edition of this flagship conference will be held as an in person event in Vienna, Austria, from August 30 to September 04, 2026.
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
Structured document 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Historical document analysis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
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
Structured document 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
最終更新 Dou Sun 2026-03-05
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関連仕訳帳
| CCF | 完全な名前 | インパクト ・ ファクター | 出版社 | ISSN |
|---|---|---|---|---|
| b | Pattern Recognition | 7.6 | Elsevier | 0031-3203 |
| Finite Elements in Analysis and Design | 3.5 | Elsevier | 0168-874X | |
| Computer Physics Communications | 3.4 | Elsevier | 0010-4655 | |
| Social Network Analysis and Mining | 2.8 | Springer | 1869-5450 | |
| International Journal of Document Analysis and Recognition | 2.5 | Springer | 1433-2833 | |
| c | International Journal on Document Analysis and Recognition | 2.5 | Springer | 1433-2833 |
| c | Pattern Analysis and Applications | 2.0 | Springer | 1433-7541 |
| Journal of Documentation | 1.700 | Emerald | 0022-0418 | |
| Numerical Functional Analysis and Optimization | 1.400 | Taylor & Francis | 0163-0563 | |
| Advances in Data Analysis and Classification | 1.400 | Springer | 1862-5347 |