A FUZZY ART NEURAL NETWORK BASED COLOR IMAGE PROCESSING AND RECOGNITION SCHEME

This paper is concerned with the application of an enhanced Fuzzy ART neural network algorithm for color image processing and recognition. A new category choice function was proposed that allows modifications to the category's weight vector when elements of the weight vector are smaller than elements of the input learning vector. To improve the learning process from the input data, a new learning rule was suggested. In this paper, a new method is proposed to deal with the RGB color image pixels, which enables a Fuzzy ART neural network to process the RGB color images. The application of the algorithm was implemented and tested on a set of RGB color face images.