ICDAR 2027
International Conference on Document Analysis and Recognition
SpringerCV
122days left
Abstract · Jan 31, 2027 ✓ verified
On the horizon · deadline is AoE (UTC-12)
All deadlines
AbstractJan 31, 2027✓ verified
From past proceedings
Papers in ICDAR's main DBLP volume each year, not official acceptance counts.
Papers in 2025
148
main DBLP volume
5-year change
n/a
needs five years
Papers, all years
4,281
19 years since 1993
Authors per paper
4.6
3.7 in 2015
By an entirely new team
26%
of 2025 papers
Papers per year1993 to 2025
Read the 2025 proceedingsVolume 1 ↗DBLP ↗Volume 2 ↗DBLP ↗Volume 3 ↗DBLP ↗Volume 4 ↗DBLP ↗Volume 5 ↗DBLP ↗
Top keywords, 2025
recognitiontextdocumenthandwrittendatasetextractiontext recognitionhandwritten textmathematicalscene texthistoricaltable
Venues like ICDAR
- ICPR International Conference on Pattern Recognition0.27recognitionscene textscenetext
- ICONIP International Conference on Neural Information Processing0.16recognitiontextextractionsegmentation
- PRCV Chinese Conference on Pattern Recognition and Computer Vision0.16recognitionscenescene textexpression recognition
- ACM MM ACM International Conference on Multimedia0.14recognitionscenetextscene text
Most published at ICDAR
- Seiichi Uchida1999 to 202677
- Ching Y. Suen1993 to 202374
- Umapada Pal2003 to 202665
- Chew Lim Tan1999 to 201557
- Jean-Marc Ogier1993 to 202655
Who publishes here
2025 to 2026 · papers count once per institution on them
Academia 62%Industry 0%Government and other 38%
Institutions
- 1Centre National de la Recherche Scientifique🇫🇷19
- 2Chinese Academy of Sciences🇨🇳16
- 3University of Chinese Academy of Sciences🇨🇳15
- 4Computer Vision Center15
- 5International Institute of Information Technology, Hyderabad🇮🇳14
- 6Universitat Autònoma de Barcelona🇪🇸13
- 7Institute of Automation🇨🇳11
- 8Laboratoire Informatique, Image et Interaction (L3i)10
Countries
- France27
- China26
- Germany21
- India18
- Japan17
- Spain10
Affiliations from OpenAlex for the papers DBLP lists. A paper with authors from three institutions counts for each of them; the split above is over the top institutions.