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What is Skin Texture Recognition with Neural Networks about?

This document describes a skin texture recognition system using neural networks. It extracts both color and texture features from skin images, including color moments and gray-level co-occurrence matrix (GLCM) texture features. A feedforward neural network is trained on these 13-element feature vectors from a skin image library to classify textures as skin or non-skin. Testing on unlabeled images achieved good recognition accuracy, with most images correctly classified, though some skin images went undetect

Author

Zaid Alyasseri

Language

EN