Analysis Of 2D Bar Code-QR Code And Design Of It's Coding And Decoding

With the development of information technologies, barcodes have been widely used in more fields, and greatly improve work efficiency of industries. The bar code recognition technology, which is based on barcode theory, photo-electricity technologies, computer technologies and communication technologies, is an important approach to automatic input and recognition.The main tasks of this design are to acquire and identify image of QR Code in high speed, based on the research on international symbology specification of QR Code.In this paper, the types and application states of barcode are introduced first, then QR Code's basic characteristics, symbol structure. In the aspect of bar code image recognition, the paper researches on the preprocessing, the image collected, namely, the reform of image. Uses image binarization, image denoising, edge detection, Hough transform, and image rotation etc. to complete the preprocessing, localization, segmentation and data extraction of bar codes. This will ground for the correct decoding afterwards.Then decode the bar-code image after preprocessing, research on decoding algorithms the application of the Reed-Solomon Error Correction Algorithm to QR code. And get the text information which QR code represents.According to the results of the experiments, this decoding arithmetic can identify the ordinary pictures which are taken by the cell phone and implement to decode QR code correctly. Besides, it is possible to transplant the software to the cell phone.