预览加载中，请您耐心等待几秒...

改进二值化算法在QR码识别中的应用.docx

预览
1/3
2/3
3/3

在线预览结束，喜欢就下载吧，查找使用更方便

下载提示 文本预览

如果您无法下载资料，请参考说明：

1、部分资料下载需要金币，请确保您的账户上有足够的金币

2、已购买过的文档，再次下载不重复扣费

3、资料包下载后请先用软件解压，在使用对应软件打开

改进二值化算法在QR码识别中的应用 Title:ImprovingtheApplicationofBinaryzationAlgorithminQRCodeRecognition Abstract: QRcoderecognitionisawidelyusedtechnologynowadays,enablingefficientandaccuratedataretrievalinvariousapplications.OnecrucialstepinQRcoderecognitionistheextractionofthebinarypatternfromthecapturedimage.ThispaperdiscussesthesignificanceofbinaryizationalgorithmsinQRcoderecognitionandpresentsanimprovedapproachtoenhancetheaccuracyandrobustnessofQRcoderecognitionsystems.Theproposedapproachutilizesacombinationoftraditionalbinarizationtechniquesandadvancedimageprocessingmethodstoachievesuperiorresults.ExperimentalresultsdemonstratetheeffectivenessoftheproposedalgorithminQRcoderecognitionscenarios. 1.Introduction: QRcoderecognitionhasgainedpopularityduetoitseaseofuseandversatilityinvariousfieldssuchasmarketing,inventorymanagement,andcontactlesspaymentsystems.ThesuccessofQRcoderecognitionheavilyreliesontheaccuracyoftheunderlyingbinarizationalgorithmusedtoconvertthecapturedimageintoabinarypattern.ThispaperaimstoimprovetheapplicationofbinaryizationalgorithmsinQRcoderecognitionbyaddressingexistingchallengesandproposingarobustsolution. 2.ChallengesinQRCodeRecognition: QRcoderecognitionfacesseveralchallenges,includingvariationsinillumination,noise,lowcontrast,anddistortion.Thesechallengescanaffecttheaccuracyofthebinarizationprocess,leadingtoincorrectdecodingandfailuretorecognizeQRcodes.Traditionalbinarizationalgorithms,suchasOtsu'smethodandsimplethresholding,maynotbesufficienttohandlethesechallengeseffectively. 3.ProposedAlgorithm: Toaddressthechallengesmentionedearlier,weproposeanimprovedbinaryizationalgorithmforQRcoderecognition.Thealgorithmconsistsofthefollowingsteps: 3.1Preprocessing: Thecapturedimageundergoesapreprocessingsteptoenhanceitsqualityandimprovethesubsequentbinarizationprocess.Techniquessuchasnoisereduction,contrastenhancement,andedgesharpeningareappliedtoensurebetterdetectionoftheQRcode. 3.2AdaptiveThresholding: Traditionalthresholdingmethodscanbeineffectiveindealingwi