Call for Papers

IMPORTANT DATES
Papers Submission:
24 Aug. 2025

Acceptance Decision:
15 Sep. 2025

Last version Submission:
29 Sep. 2025

Early Registration:
10 Oct. 2025

http://ingenieria.unal.edu.co/ciarp

SUBMIT WORK OR ARTICLE
meteor.springer.com/CIARP2025
https://meteor.springer.com/CIARP2025

The Iberoamerican Congress on Pattern Recognition (CIARP) is one of the most relevant scientific events focusing on all aspects of pattern recognition, computer vision, artificial intelligence, data mining, and related areas. Every year it brings a networking forum for sharing scientific results and experiences on new knowledge and applications on related topics, as well as for increasing cooperation between research groups.

CIARP 2025 will be hosted by the Universidad Nacional de Colombia (Bogotá, Colombia), supported by the Pattern Recognition Chapter (Asociación Colombiana de Reconocimiento de Patrones ACORP.IA) of the Sociedad Colombiana de Computación (SCO), and endorsed by the International Association for Pattern Recognition (IAPR). Proceedings will be published by Springer as LNCS and three conference awards will be given (including IAPR Best Paper Awards).

The program will include renowned keynote speakers, special sessions on cooperation between industry and academia, as well as workshops and hands-on tutorials on cutting-edge technologies.

Discover Bogotá, a vibrant and multicultural city in the heart of Colombia. Enjoy an unforgettable experience in a city that blends tradition with modernity while taking
part in an event that will make a lasting impact. ¡Bogotá is waiting for you!

We invite authors to submit new theoretical results, techniques, and applications research in any aspect of pattern recognition, including but not limited to:

Artificial Intelligence
Biometrics
Clustering and Applications
Cognitive and Humanoid Vision
Computer Vision
Data Mining and Big Data
Deep Learning and Transfer Learning
Document Processing
Gesture Recognition
Fuzzy and Hybrid Methods
Image Processing and Analysis
Information Theory
Natural Language Processing
Neural Networks
Object Recognition
Parallel and Distributed PR
Pattern Recognition Principles
Remote Sensing Applications of PR
Signal Processing and Analysis
Soft Computing Techniques
Speech Recognition and Analysis
Statistical Pattern Recognition