ICPRS 2019 : 10th International Conference on Pattern Recognition Systems

  in Conferences   Posted on December 24, 2018

Conference Information

Submission Deadline Wednesday 13 Mar 2019
Conference & Submission Link http://www.icprs.org
Conference Dates Jul 8, 2019 - Jul 10, 2019
Conference Address Tours, France
Proceedings indexed by
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Call for Papers

The 10th International Conference on Pattern Recognition Systems (ICPRS) is an annual event that follows ICPRS-18, ICPRS-17, ICPRS-16, a continuation the successful Chilean Conference on Pattern Recognition that reached its 6th edition in 2014. In 2019 it is organised by the Université de Tours (France) and is sponsored by the Chilean Association for Pattern Recognition (ACHiRP) and the Vision and Imaging Professional Network of the Institution of Engineering and Technology (IET) who will publish its proceedings (provided that at least one author registers and presents the work at the conference). Papers deemed to be of the required standard will be published by the IET (IET Digital Library) and indexed by INSPEC and, normally through it, by IEEE Xplore and Scopus, provided that at least one of the authors registers AND presents the work.

All paper submissions will be submitted on-line to be peer-reviewed by an international panel of experts. Authors of exceptional papers may be encouraged to submit extended versions to be considered for publication in an IET JCR peer-reviewed journal (e.g. IET Computer Vision Journal, IET Image Processing Journal or IET Biometrics Journal).

Full papers, in English, are invited on all aspects of Pattern Recognition Systems, from academia, industry, NGOs and others, to be selected for oral presentations or posters through a peer-review system. An indicative, not exclusive, list of relevant topics is:

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.)


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

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