An official publication of the International Association for Pattern Recognition

Pattern Recognition Letters aims at rapid publication of concise articles of a broad interest in pattern recognition.
Subject areas include all the current fields of interest represented by the Technical Committees of the International Association of Pattern Recognition, and other developing themes involving learning and recognition. Examples include:

• Statistical, structural, syntactic pattern recognition;
• Neural networks, machine learning, data mining;
• Discrete geometry, algebraic, graph-based techniques for pattern recognition;
• Signal analysis, image coding and processing, shape and texture analysis;
• Computer vision, robotics, remote sensing;
• Document processing, text and graphics recognition, digital libraries;
• Speech recognition, music analysis, multimedia systems;
• Natural language analysis, information retrieval;
• Biometrics, biomedical pattern analysis and information systems;
• Special hardware architectures, software packages for pattern recognition.

We invite contributions as research reports or commentaries.

Research reports should be concise summaries of methodological inventions and findings, with strong potential of wide applications.
Alternatively, they can describe significant and novel applications of an established technique that are of high reference value to the same application area and other similar areas.

Commentaries can be lecture notes, subject reviews, reports on a conference, or debates on critical issues that are of wide interests.

To serve the interests of a diverse readership, the introduction should provide a concise summary of the background of the work in an accepted terminology in pattern recognition, state the unique contributions, and discuss broader impacts of the work outside the immediate subject area. All contributions are reviewed on the basis of scientific merits and breadth of potential interests.

Special Issue on Pattern Recognition Letters with the Best Papers from SIBGRAPI 2025
Día de Entrega: 2026-02-20

The Conference on Graphics, Patterns, and Images (SIBGRAPI) is a leading annual event in Latin America promoted by the Special Interest Group on Computer Graphics and Image Processing (CEGRAPI) of the Brazilian Computing Society (SBC). SIBGRAPI started in 1988 and combines contributions from computer graphics, computer vision, pattern recognition, and image processing. It comprises the main conference and several co-located workshops and short courses, such as Tutorials, tracks related to Computers & Graphics (C&G), Geoscience and Remote Sensing (GRSL), and workshops for Theses and Dissertations (WTD), Works in Progress (WiP), Undergraduate Works (WUW), and Industry Applications (WIA). With an international program committee, it offers high-quality information at a low cost for students, academics, and industry researchers. The proceedings of the event have been published by IEEE since 1997, and all the editions are available from the IEEE Xplore digital library. Original unpublished papers are invited, and submissions are double blindly reviewed by at least three experts in the topic of the work.

The global topics of interest include:

    Pattern Recognition
    Computer Graphics and Visualization

To manage reviews, the following topics of interest are given to authors:

- Pattern Recognition

    Biometrics
    Feature extraction and matching
    Underwater vision∟Image and video analysis
    Image and video filtering
    Image and video restoration
    Image and video retrieval
    Image and video segmentation Mathematical morphology
    Medical imaging
    Multiscale models
    Pattern recognition
    Big data
    Deep learning
    Sparse coding
    Privacy and security
    Visual learning
    Scene understanding
    Visual data mining

- Computer Graphics and Visualization

    Animation and simulation
    Biomedical imaging and visualization
    Computational geometry
    3D printing
    Mesh generation
    Skeletons and alpha shapes 
    Computer vision and robotics
    Motion and tracking
    Geometry processing

- Geometric and solid modeling

    Parametrization/Multi-resolution modeling
    Point-based modeling
    Surface reconstruction
    Human-computer interaction
    Optimal transport
    Remote sensing and geophysical imaging Rendering
    Non-photorealistic rendering
    Real-time imaging and rendering Video surveillance
    Virtual and augmented reality
    Visualization
    Information visualization
    Scientific visualization
    Visual analytics

Guest editors:

Prof. João Paulo Papa
Universidade Estadual Paulista "Júlio de Mesquita Filho", Sao Paulo, Brazil

Dr. Gustavo Carneiro
University of Surrey, Guildford, United Kingdom

Prof. Gregory Welch
University of Central Florida, Orlando, United States

Dr. Manuel Menezes de Oliveira Neto
Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil

Manuscript submission information:

    Guest Editor Invitation Only
    Open for Submission: from 01-Feb-2026 to 20-Feb-2026
    Submission Site: Editorial Manager®
    Article Type Name: "VSI: PATREC_SIBGRAPI 2025" - please select this item when you submit manuscripts online

All manuscripts will be peer-reviewed. Submissions will be evaluated based on originality, significance, technical quality, and clarity. Once accepted, articles will be posted online immediately and published in a journal regular issue within weeks. Articles will also be simultaneously collected in the online special issue.
For any inquiries about the appropriateness of contribution topics, welcome to contact Leading Guest Editor (Prof. João Paulo Papa).
Guide for Authors will be helpful for your future contributions, read more: Guide for authors - Pattern Recognition Letters - ISSN 0167-8655 | ScienceDirect.com by Elsevier
For more information about our Journal, please visit our ScienceDirect Page: Pattern Recognition Letters | Journal | ScienceDirect.com by Elsevier

Keywords:

    Computer Graphics
    Pattern Recognition
    Computer Vision
    Image Processing

Special Issue on the 15th International Conference on Pattern Recognition Systems (ICRPS 2025)
Día de Entrega: 2026-03-20

ICPRS and its predecessors ICPRS-24, ICPRS-23, ICPRS-22, ICPRS-21, ICPRS-19, ICPRS-18, ICPRS-17, ICPRS-16, CWPR and CCPR, have traditionally been a meeting point of different disciplines (computer science, engineering, mathematics, machine learning, etc.) and an opportunity for a wide range of researchers and practitioners to discuss the many different aspects of the application of pattern recognition technologies.

Artificial Intelligence Techniques in Pattern Recognition, Bioinformatics Clustering, Biometrics (including face recognition), Computer Vision, Dataset: a new public dataset and baseline, 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, Medical Image Processing and Analysis, etc. (please see ICPRS 2025 for full list).

Guest editors:

Prof. Dr. Sergio S. Velastín
Universidad Carlos III de Madrid, Getafe, Spain

Dr. Romina Torres
Universidad Adolfo Ibáñez, Santiago, Chile

Dr. Sebastián Moreno
Universidad Adolfo Ibáñez, Santiago, Chile

Manuscript submission information:

    Guest Editor Invitation Only
    Open for Submission: from 01-Mar-2026 to 20-Mar-2026
    Submission Site: Editorial Manager®
    Article Type Name: "VSI: ICPRS 2025" - please select this item when you submit manuscripts online

All manuscripts will be peer-reviewed. Submissions will be evaluated based on originality, significance, technical quality, and clarity. Once accepted, articles will be posted online immediately and published in a journal regular issue within weeks. Articles will also be simultaneously collected in the online special issue.
For any inquiries about the appropriateness of contribution topics, welcome to contact Leading Guest Editor (Prof. Dr. Sergio S. Velastín).
Guide for Authors will be helpful for your future contributions, read more: Guide for authors - Pattern Recognition Letters - ISSN 0167-8655 | ScienceDirect.com by Elsevier
For more information about our Journal, please visit our ScienceDirect Page: Pattern Recognition Letters | Journal | ScienceDirect.com by Elsevier

Keywords:

    Artificial Intelligence Techniques in Pattern Recognition
    Bioinformatics Clustering
    Biometrics
    Computer Vision
    Dataset
    Data Mining and Big Data
    Deep Learning
    Neural Networks