Securing Digital Images Integrity using Artificial Neural Networks
Tarik Hajji, Zakaria Itahriouan, Mohammed Ouazzani Jamil · IOP Conference Series Materials Science and Engineering · 2018
Digital image signature is a technique used to protect the image integrity. The application of this technique can serve several areas of imaging applied to smart cities. The objective of this work is to propose two methods to protect digital image integrity. We present a description of two approaches using artificial neural networks (ANN) to digitally sign an image. The first one is "Direct Signature without learning" and the second is "Direct Signature with learning". This paper presents the theory of proposed approaches and an experimental study to test their effectiveness.