Research And Application On The Clarity Of QR Code Decoding Technology Of Handheld Devices In Complex Environment

Since the one-dimensional bar code has many obvious flaws in capacity,confidentiality and error correction capability,a two-dimensional bar code in this context came into being,not only to get rid of dependence on the back-end database,and has a higher error correction capability.QR code as a common two-dimensional bar code,a low-cost,high security,fast recognition speed and other characteristics.However,when smart phones use the camera to capture images,often because the phone jitter,complex background or collecting in uneven illumination surroundings,etc.,results in the two-dimensional code image obtained is not clear or generates noise,under these complex conditions,QR code would be severely affected in correctly decoding,and ultimately affect the correctness and rapidity of automatically recognizing the two-dimensional code.This paper is aiming at such complex environment,researched the key technologies involved in the identification of QR codes,including the following works:Doing a research into QR code image preprocessing algorithm taking in complex environment.In the process,through the Laplacian to sharpen the fuzzy image,developing a regional adaptive binarization operation for uneven illumination.And geometrically correcting the two-dimensional code image,Eliminating the geometric distortion of the two-dimensional code caused by the camera perspective phenomenon,in the decoding process,using the window sampling method,which could effectively resist noise interference,and improve the accuracy of the decoding.So that the two-dimensional code can be successfully decoded.Designing and implementing the QR code identification system of complex environmental on Android handheld devices,which is under the full account of the complex environment,the system consists of the image pre-processing module and image recognition module,achieving this system on Android development environment finally,the experiment result shows that the QR code can be correctly decoded at high light and other complex environments.Through a research on complex environment pretreatment and code Positioning and decoding technology to the handheld QR code,Implemented a mobile client APP which could clear decoding on the Android system,even on the condition of low resolution,image geometric distortion,uneven illumination and so on,the APP can still complete image acquisition,QR code decoding,display decoded information and other functions.