Abstract Knowledge of source smartphone corresponding to a document image can be
helpful in a variety of applications including copyright infringement, ownership attribution,
leak identification, and usage restriction. In this work, we investigate a convolutional neural
network-based approach to solve source smartphone identification problem for printed text
documents which have been captured by smartphone cameras and shared over messaging
platform. The proposed method comprises of a fusion technique which allows a single …