Intelligent approaches for effective feature selection in image pattern recognition

Abstract

In pattern recognition is necessary to have a number of features to identify each class. This article presents approaches for feature selection and classification in pattern recognition in digital images using intelligent algorithms. The question to work, a theoretical framework and related work on the subject are developed, experiments are proposed and results are shown.