IAPR

International Association for Pattern Recognition

International Association for Pattern Recognition

Organization

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 IAPR Fellow Award has been awarded biennially since 1994 to recognize distinguished contributions to the field of pattern recognition.[13]

References

  1. [1]
    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.
  2. [2]
    "IAPR". International Association for Pattern Recognition. Retrieved 7 August 2014.
  3. [3]
    "International Journal on Document Analysis and Recognition (IJDAR)". Retrieved 24 August 2014.
  4. [4]
    "ICPR".
  5. [5]
    "ICPR 2014".
  6. [6]
    "ICPR 2016". Archived from the original on 2020-02-02. Retrieved 2018-04-27.
  7. [7]
    "ICPR 2018".
  8. [8]
    "ICPR 2020".
  9. [9]
    "ICPR 2022".
  10. [10]
    "ICDAR 2013". Retrieved 24 August 2014.
  11. [11]
    "ICDAR 2015". Retrieved 24 August 2014.
  12. [12]
    "ICDAR 2017".
  13. [13]
    "Fellows and Awards". International Association for Pattern Recognition. Retrieved 7 August 2014.
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