12th International Conference on Pattern Recognition Systems (ICPRS)
St Etienne, France (virtual conference), 7th-10th June 2022
FINAL deadline for paper submission: 6th February 2022
Co-sponsored by: IEEE, IET, IAPR, ACHIRP (Chilean Association for
Pattern Recognition)
http://www.icprs.org

The 12th International Conference on Pattern Recognition Systems
(ICPRS-22) is an annual event that follows ICPRS-21, ICPRS-19, ICPRS-18,
ICPRS-17 and ICPRS-16, a continuation of the successful Chilean
Conference on Pattern Recognition that reached its 6th edition in 2014.
In 2022 it is organised by MINES Saint-Etienne (France) and the Chilean
Association for Pattern Recognition (ACHiRP, a member of the IAPR),
endorsed by the IAPR and sponsored by IEEE France, IEEE France SP
Chapter, IEEE Chile CIS Chapter and the IET’s Vision & Imaging
Community. As in previous years, papers deemed to be of the required
standard AND presented at the conference, will be normally indexed in
IEEE Xplore. Please note that the publishers might reject papers which
are too similar to previous publications, even if the work is presented
at the conference. All paper submissions need to be submitted via
Conftool to be peer-reviewed (double-blind) by an international panel of
experts. Excellent papers will be encouraged to submit extended versions
for consideration in a JCR-indexed journal (tba). For more information,
please seehttp://www.icprs.org. There will be a good set of keynote
talks. An innovative aspect of this conference is that it will be a
hybrid event so that authors, invited speakers and delegates may choose
to attend through a webminar system. There is also a special “Student
Paper” category for papers whose main author is a registered student at
the time of submission.

Prospective authors are invited to submit papers describing novel and
previously unpublished results on topics including, but not limited to:
• Artificial Intelligence Techniques in Pattern Recognition
• Bioinformatics Clustering
• Biometrics (including face recognition)
• Computer Vision
• Data Mining and Big Data
• Dataset: a new public dataset and baseline
• Deep Learning and Neural Networks for Pattern Recognition
• Document Processing and Recognition
• Fuzzy and Hybrid Techniques in PR
• High Performance Computing for Pattern Recognition
• Image Processing and Analysis
• Kernel Machines
• Mathematical Morphology
• Mathematical Theory of Pattern Recognition
• Medical Image Processing and Analysis
• Natural Language Processing and Recognition
• Object Detection, Tracking and Recognition
• Pattern Recognition Principles
• Pattern Recognition for optimization
• Real Systems, Applications and Case Studies of Pattern Recognition
(e.g. health, environment, weather prediction, natural disasters,
transportation, etc.)
• Robotics
• Remote Sensing
• Shape and Texture Analysis
• Signal Processing and Analysis
• Social Media and HCI
• Signal Processing and Analysis
• Statistical Pattern Recognition
• Syntactical and Structural Pattern Recognition
• Time series prediction
• Voice and Speech Recognition