SYNTHETIC BANKNOTE DATA GENERATION USING A GENERATIVE ADVERSARIAL NETWORK WITH SPATIALLY COMPOSITED MULTISPECTRAL DATA

A method for generating synthetic banknotes requires that a multispectral image be generated from a sample banknote. The multispectral image is processed to create a training image in a two-dimensional space. A generative adversarial network is trained using the training image. Synthetic banknotes are generated by seeding the trained generative adversarial network with random data. The synthetic banknotes may then be used to generate a banknote template for a currency validator.