Prospective authors are invited to contribute to the conference by electronically submitting full papers in English of no more than 8 pages including illustrations, tables and references. Papers have to be formatted following LNCS style guidelines. Papers will be evaluated based on their originality, quality and significance of theoretical and/or practical contribution to Pattern Recognition. At least one author of each accepted paper must register at the conference. Papers will be selected for oral presentations or poster presentations. Only papers presented at the conference will be included in the proceedings.

The proceedings of the conference will be published by Springer in the  Lecture Notes in Computer Science series.

Topics of interest include (but are not limited to):
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- Artificial Intelligence Techniques in Pattern Recognition
- Bioinformatics
- Clustering and Applications
- Cognitive and Humanoid Vision
- Computer Vision
- Data Mining
- Data Visualization and Applications of Pattern Recognition
- Deep Learning
- Databases, Knowledge-based Systems and  Linguistic tools
- Document Processing and Recognition
- Fuzzy and Hybrid Techniques in Pattern Recognition
- Geometric Algebra Application in Perception Action
- Image Coding, Processing and Analysis
- Intelligent Data Analysis
- Kernel Machines
- Logical Combinatorial Pattern Recognition
- Mathematical Morphology
- Mathematical Theory of Pattern Recognition
- Natural Language Processing and Recognition
- Neural Networks
- Opinion Mining and Sentiment Analysis
- Parallel and Distributed Pattern Recognition
- Petri Nets
- Robotics and Humanoids
- Remote Sensing Applications of Pattern Recognition
- Satellite and Radar Image Processing
- Shape and Textural Analysis
- Signal Processing and Analysis
- Spatio-Temporal Analysis
- Statistical Pattern Recognition
- Syntactical and Structural Pattern Recognition
- Speech Recognition and Analysis
- Text Mining