No abstract

This project aims to find fake logos by matching and detecting them against the original logo. This is accomplished by dividing the logo picture into rows and columns and assigning an index value to each cell. The values in each cell are referred as pixels which can be compared with logo image to classify whether it’s a fake logo or original logo. To say whether the logo is fake or the original by looking at the relationship between the pixel values of both the original and the logo in training dataset. The original logo is determined by the pixel values of all cells exactly matching the genuine logo otherwise its fake logo. The convolution neural network algorithm is used for detecting and classifying the logo.