人脸识别外文文献人脸识别外文文献人脸识别外文文献MethodofFaceRecognitionBasedonRed—BlackWaveletTransformandPCAYuqingHe，HuanHe,andHongyingYangDepartmentofOpto-ElectronicEngineering,BeijingInstituteofTechnology,Beijing，P。R。China,100081HYPERLINK”mailto：20701170＠bit。edu。cn"20701170＠bit。edu。cnAbstract。Withthedevelopmentoftheman—machineinterfaceandtherecogni-tiontechnology,facerecognitionhasbecameoneofthemostimportantresearchaspectsinthebiologicalfeaturesrecognitiondomain.Nowadays,PCA（PrincipalComponentsAnalysis）hasappliedinrecognitionbasedonmanyfacedatabaseandachievedgoodresults。However，PCAhasitslimitations:thelargevolumeofcomputingandthelowdistinctionability.Inviewoftheselimitations,thispaperputsforwardafacerecognitionmethodbasedonred-blackwavelettransformandPCA。Theimprovedhistogramequalizationisusedtorealizeimagepre—processinginordertocompensatetheillumination。Then，applingthered-blackwaveletsub-bandwhichcontainstheinformationoftheoriginalimagetoextractthefeatureanddomatching.Comparingwiththetraditionalmethods,thisonehasbetterrecognitionrateandcanreducethecomputationalcomplexity。Keywords：Red—blackwavelettransform,PCA,Facerecognition，Improvedhistogramequalization。IntroductionBecausethetraditionalstatusrecognition（IDcard，password，etc)hassomedefects,therecognitiontechnologybasedonbiologicalfeatureshasbecomethefocusofthere-search.Comparedwiththeotherbiologicalfeatures(suchasfingerprints,DNA,palmprints，etc)recognitiontechnology,peopleidentifywiththepeoplearoundmostlyusingthebiologicalcharacteristicsofhumanface.Faceisthemostuniversalmodeinhumanvision。Thevisualinformationreflectedbyhumanfaceintheexchangeandcontactofpeoplehasanimportantroleandsignificance.Therefore,facerecognitionistheeasiestwaytobeacceptedintheidentificationfieldandbecomesoneofmostpotentialiden-tificationauthenticationmethods.Facerecognitiontechnologyhasthecharacteristicsofconvenientaccess，richinformation.Ithaswiderangeofapplicationssuchasiden-tification,driver'slicenseandpassportcheck,bankingandcustomscontrolsystem,