Techniques for matching disparate input data

Abstract

Systems and methods are disclosed for training a generative adversarial network (GAN) to transform images of one type (e.g., a selfie) to images of a second type (e.g., an ID document image). Once trained, the GAN may be utilized to generate an augmented training set that includes pairs of images (e.g., an image of the first type paired with an image of the second type, an image of the second type generated from an image of the first type paired with an image of the second type). The augmented training data set may be utilized to train a matching model to identify when subsequent input images (e.g., a selfie and an ID image, an ID image generated from a selfie and an actual ID image) match.