Building Accurate and Efficient Color Image Recognizer

Digital color image recognition is one of the most important tasks used in digital image processing, due to the various applications requiring this task. Color image recognition system deals with huge data, thus minimizing the memory space and recognition time will be an important issue. In this paper a method of color image features extraction will be introduced, the extracted features will be minimized and will be unique for each image. A data set if color images features will be built and passed to artificial neural network to be used for recognition purposes,, deferent ANN architectures will be trained , tested and implemented , the obtained results will be used as a guide for selecting the suitable , efficient and accurate ANN.