Official logo recognition based on multilayer convolutional neural network model

Deep learning has gained high popularity in the field of image processing and computer vision applications due to its unique feature extraction property. For this characteristic, deep networks used solve different issues applications. In paper issue been raised is classification logo formal directors Iraqi government. The proposes a multi-layer convolutional neural network (CNN) classify recognize these official logos by train CNN model on several logos. experimental show effectiveness proposed method with accuracy rate about 99.16%. multi-layers proves various conditions.