Impact of Denoising using Various Filters on QR Code

This paper aims to showcase one of the latest automatic identification technology concepts. In the recent past the concept of Quick Response Code (QR Code) has attained a significant recognition and is being used as data representation mean. 2D Barcode are widely used due to high capacity storage and fast processing step, QR Code is one of such types of 2D barcode. Advertising and education are the top most span where the utility of this application continues to grow. This paper aims on providing detailed information on all the concepts of Quick Response Code. It expresses significance, structure and entire procedure used to represent data in the form of barcode. First experiment is to apply noise in QR Code (encoding) and second is De-noising (decoding) using Median and Wiener filters. This document also provides a glimpse of the impact of Noise on the QR code and Histogram of the PSNR values that shows the comparison of the images