Research On Recognition And Application Of Qr Codes Based On Image Processing

As a means of the description and identification for the items, two-dimensional barcode hasbeen widely attended, especially the QR Code, it has had a wide range of applications in ourcountry, because it could be coded effectively for Chinese characters.But becausetwo-dimensional barcode was usually used in the surface of the items with the tag way, it wouldbe hard to avoid being dirtied in the outside, and when we are reading it may be hard to be readbecause of the equipment or outside light.According to the background, the image preprocessing algorithm was put forward in thispaper. Firstly, the encoding principle of the QR Code had been presented; Secondly thepretreatment steps for the scanning bar code pictures were introduced; At last, the QR Codedecoding process has been introduced, and an application solution has been put forward in viewof the reality characteristics of the agricultural products trace and practical characteristics of theQR Code. The algorithm has been improved,the median filter was adopted, Otsu thresholdalgorithm was chose, Sobel Operator was used for the edge detection, the method of combiningHough transform and Radon transformation were used for linear testing to determine the Angle,and two-value method was used after the image rotation. The experimental results show that thecombination of the algorithms can get very good effect.In this paper, the innovation points were embodied in correcting the image, the method ofcombining the Hough transform and Radon transformation were put forward for testing linear todetermine the Angle in this paper, and the complexity of calculation has been reduced, theaccuracy has been improved.