The International Association for Pattern Recognition (IAPR), founded in 1978 by Purdue University computer scientist King-Sun Fu,[1] is an international association of non-profit, scientific, or professional organizations (being national, multi-national, or international in scope) concerned with pattern recognition, computer vision, and image processing in a broad sense. Normally, only one organization is admitted from any one country, and individuals interested in taking part in IAPR's activities may do so by joining their national organization.[2]
Publications
The IAPR publishes four main academic publications of record:
- The IAPR Newsletter is published quarterly
- Pattern Recognition Letters is published monthly by Elsevier (ISSN 0167-8655)
- Machine Vision and Applications is published bimonthly by Springer Verlag
- International Journal on Document Analysis and Recognition[3] is published quarterly by Springer Verlag
Conferences
IAPR Conferences:
- The International Conference on Pattern Recognition[4]
- The International Conference on Pattern Recognition in Bioinformatics
- The International Conference on Pattern Recognition and Image Analysis
- The International Conference on Document Analysis and Recognition
The IAPR Fellow Award has been awarded biennially since 1994 to recognize distinguished contributions to the field of pattern recognition.[13]
References
- ↑ Wang, Patrick S.P., ed. (2011). Pattern Recognition, Machine Intelligence and Biometrics. Springer. p. xx. doi:10.1007/978-3-642-22407-2. ISBN 978-3-642-22406-5.
- ↑ "IAPR". International Association for Pattern Recognition. Retrieved 7 August 2014.
- ↑ "International Journal on Document Analysis and Recognition (IJDAR)". Retrieved 24 August 2014.
- ↑ "ICPR".
- ↑ "ICPR 2014".
- ↑ "ICPR 2016". Archived from the original on 2020-02-02. Retrieved 2018-04-27.
- ↑ "ICPR 2018".
- ↑ "ICPR 2020".
- ↑ "ICPR 2022".
- ↑ "ICDAR 2013". Retrieved 24 August 2014.
- ↑ "ICDAR 2015". Retrieved 24 August 2014.
- ↑ "ICDAR 2017".
- ↑ "Fellows and Awards". International Association for Pattern Recognition. Retrieved 7 August 2014.