The 11th International Conference on Pattern Recognition Systems (ICPRS-21) is an annual event that follows 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 2021 it is organised by the Universidad de Talca (Chile) and the Chilean Association for Pattern Recognition (ACHiRP, a member of the IAPR) and is endorsed by the IAPR and sponsored by the Vision and Imaging Professional Network of the Institution of Engineering and Technology (IET). As in previous years, papers will be published in electronic proceedings. Papers deemed to be of the required standard AND presented at the conference, will be normally indexed in IEEE Xplore and Scopus. All paper submissions need to be submitted via Conftool to be peer-reviewed by an international panel of experts. Excellent papers will be encouraged to submit extended versions for consideration in a JCR-indexed journal (tba). There will be a good set of keynote talks.

An innovative aspect of this conference is that it will be ​mainly virtual​ so that authors, invited speakers and delegates will be able to attend through a webinar system.

Another innovations is that there will be a special category of "Student Papers", where the first author must be a student (undergraduate or postgraduate). There will be a special prize for best student paper.

All paper submissions will be submitted on-line to be peer-reviewed by an international panel of experts. Please note that all papers will be checked by a plagiarism detecting software so that papers that exceed a threshold of coincidence will not be passed on for reviews.

There will be delegate fee discounts for authors, students and members of the sponsoring organisations.

Prospective authors are invited to submit full papers papers describing novel and previously unpublished results on all aspects of Pattern Recognition Systems, from academia, industry, NGOs and others, to be selected for oral presentations or posters, on topics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
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
Natural Language Processing and Recognition
Object Detection, Tracking and Recognition
Pattern Recognition Principles
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
Social Media and HCI
Signal Processing and Analysis
Statistical Pattern Recognition
Syntactical and Structural Pattern Recognition
Voice and Speech Recognition