Pattern Recognition Research Team, represents a scientific subject matter that deals with the description and classification (recognition) of objects, people, signals, representations, etc. This science works is based on a previously established set of all possible objects (patterns) to be recognized. The margin of pattern recognition applications is very wide, but the most important are related to the vision and hearing by a machine, similar to humans. In the wide conception promoted by the International Association of Pattern Recognition it integrates conceptions coming from statistics, machine learning, and artificial intelligence, together with digital signal and image processing and understanding among others computational techniques.

The interests of the Pattern Recognition Department cover from the methodological aspects of the process of object detection and recognition in video and images, remote sensing and chemometrics. The department is focusing to development of new and improvement of the existing paradigms, for the application to the different problems arising in all spheres of our society:

• Chemometrics
• Functional Data Analysis
• Geo-spatial data analysis and Remote Sensing
• Statistical Pattern Recognition
• Structural-syntactic Pattern Recognition

Researchers:

• PhD. Annette Morales González- Quevedo
• PhD. Francisco José Silva Mata
• Lic. Víctor Manuel Mendiola Lau
• Lic. Raúl A. Alonso Baryolo
• Ing. Javier Lamar León
• Lic. Reynolds León Guerra
• Ing. Elvis Ferrera Cedeño