Extending the Storage Capacity And Noise Reduction of a Faster QR-Code

Abstract

Quick Response Code has been widely used in the automatic identification fields (Liu, Ju, & Mingjun, 2008). The present work illustrates an image processing system able to discover, split and decodes the most common 2D symbol used in bar code applications. The different symbol is processed by manipulating their similarities, to achieve an integrated computational structure (Ouaviani, Pavan, Bottazzi, Brunelli, Caselli, & Guerrero, 1999). There is not enough novel approach which could be effective for data transferring to alter various sizes, a little noisy or damaged and various lighting conditions of bar code image. We proposed a faster QR code which has more storage and can scan faster. The new QR code generation takes twice the time than normal QR code but it can also store double QR code data. It's scanning is as faster as other QR code scanning technique. we deducted the level of color percentage despite positions of color bits in that module, which increased its scanning speed and reduced noise error rate to less than 10 percent.