Image based barcode reader

The purpose of this study is to generate a system capable of barcode recognition from digital images and decoding the information stored on them. This project is only capable of decoding code 39 barcode type and deals with images with high resolution. There are three main steps in this study: preprocessing the image, detecting the barcode and decode the information stored on them. Preprocessing include several filtering steps to generate a smoother version of the image. Hough transform is mainly used in locating the barcode depending on theta and rho values and after finding the right threshold value the barcode will be detected. Decoding step is implemented by separating bars from spaces and converting each pixel?s binary value into it?s corresponding ASCII code. Then the information stored on barcode will be printed.