A New Pattern Recognition Approach Based on Color Structure and Image Euclidean Distances

In this paper, we proposed an approach based on color structure and Euclidean distance method for pattern recognition. Pattern recognition is the task of deciding what is the structure of the image and check that it is similar to database images. In color structure we examine whole image pixel values and will showing the color clusters then after, we find a new distance for images called IMage Euclidean Distance (IMED)that based on Isomap method.After calculate the IMage Euclidean Distance of query image and database image then we can achieve the final result