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基于LSTM型RNN的CAPTCHA识别方法.docx

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基于LSTM型RNN的CAPTCHA识别方法 Abstract: CAPTCHA(CompletelyAutomatedPublicTuringtesttotellComputersandHumansApart)isintroducedtopreventautomatedtoolsfromperformingunauthorizedactionsonawebpage.Inthispaper,weproposeanewmethodforCAPTCHArecognitionbasedonLongShort-TermMemory(LSTM)typeRecurrentNeuralNetworks(RNNs).Theproposedmethodusesapre-processingsteptopreparetheCAPTCHAimagesbyconvertingthemintobinaryformandremovingnoise.Then,thesepre-processedimagesarefedintoaLSTM-basedRNNthatlearnstorecognizetheCAPTCHAs.TheresultsdemonstratethatourproposedmethodoutperformsotherCAPTCHArecognitionmethodsintermsofaccuracyandefficiency. Keywords:CAPTCHA,LSTM,RNN,recognition,pre-processing. Introduction: CAPTCHAisapopulartechniqueusedtopreventautomatedtoolsfromperformingunauthorizedactionsonawebpage.CAPTCHAstandsfor“CompletelyAutomatedPublicTuringtesttotellComputersandHumansApart”.CAPTCHAinvolvesdisplayingdistortedimagesofalphanumericcharactersthatahumancaneasilyrecognizebutaredifficultformachinerecognition.CAPTCHAsareusedtopreventspamming,bruteforceattacks,andothermaliciousactivitiesonwebsites. CAPTCHAisachallengingtaskforautomatedrecognitionsystemsduetoitsnoisyanddistortednature.Therefore,developingarobustCAPTCHArecognitionsystemhasbecomeanimportantareaofresearchincomputervisionandmachinelearning.Inthispaper,weproposeanewmethodforCAPTCHArecognitionbasedonLongShort-TermMemory(LSTM)typeRecurrentNeuralNetworks(RNNs).Theproposedmethodusesapre-processingsteptopreparetheCAPTCHAimagesbyconvertingthemintobinaryformandremovingnoise.Then,thesepre-processedimagesarefedintoanLSTM-basedRNNthatlearnstorecognizetheCAPTCHAs. Relatedwork: SeveraltechniqueshavebeenproposedforCAPTCHArecognitionintheliterature.Someofthesetechniquesincludeimageprocessingtechniques,patternrecognitiontechniques,neuralnetwork-basedtechniques,anddeeplearning-basedtechniques. Imageprocessingtechniquesinvolveimagefiltering,imagemorphologicaloperations,andothertechniquestoremovenoiseandenhancetheimages.Patternrecognitiontechniquesinvolv