QR Denoising using a Hopfield Network

Abstract

In this research paper, we will train and test the Hopfield neural network for recognizing QR codes. We propose an algorithm for denoising QR codes using the concept of parallel Hopfield neural network. One of the biggest drawbacks of the noisy QR code is its poor performance and low storage capacity. Using Hopfield we can easily denoise the QR code and thereby increasing the storage capacity.