Implementation of HC2D Barcode Reader in Real Time Application

Barcodes create a specific pattern with the help of bars, space and square of various widths. This pattern contains the information regarding the object where it is attached. Generally, there are three different types of barcodes namely 1D, 2D and 3D. Among these types, two dimensional barcode technologies is becoming popular and useful for communication.HC2D barcode is a high capacity two dimensional, so it can hold large amount of data in small area. In existing system this HC2D barcode image recognition is implemented in mobile with android operating system. The mobile phone used here consists of a camera, supporting application and display device. Then the source image is captured by the embedded camera device in mobile phone. But, in the existing method the obtained average recognition rate is 91.33%. In this technique the recognition rate is improved by adding a Wiener filter in Barcode Recognition Algorithm. Here, the noise is reduced with the help of this filter. This leads to increase the recognition rate up to 93%.