A novel image recognition method by vector voting

This paper introduces a new method for recognizing images and finding their sizes and angles. Using this method, an image is constructed from 2 types of vectors-vectors indicating positions and vectors denoting intensity gradients for those positions, and image recognition data is created from the vectors. When investigating the difference between a reference image and a sample one, we vote vectors and similarities are evaluated by calculating voting densities in the image space. Furthermore when two images are identified, we can find the size and angle of the sample image in comparison with the reference one by summating voted vectors at the origin. The proposed method is invariant to image rotation and size. Using this method, we carried out experimentation recognizing images and finding their sizes and angles, and the results show that the method is effective in retrieving images.