Multi texture features based face recognition and tracking using Open CV

  • 1)Ms.AdleneEbenezerP, S.ShekharJana, AnanyaT.Saikia, PrinceYadav

Abstract

FRisawayofidentifyinganyindividualthroughatechniqueofimageprocessing.Ithasfounditsuseinenormouspracticalfields,forexampleinthespaceofbiometrics,cybersecurityandvariousotheraspects.FacialRecognitionisalsousedinsurveillanceaswellaslegislationadministration.Thisfielddevelopedandmanyotherapproachesandvariousalgorithmshaveemergedwhichhavemadefacialrecognitionaseffectualaspossiblewiththepassingyears.InthispaperwehavepresentedauniqueapproachofCSLBPandMultiangleGaborFacefiltertodetectmultitexturefeatures.Theproposedlineamentsholdthedisparitydataofimagetemplate.Itdistinguishesanobject’stextureliketheareaconsistencyaswellastheshapeschemedbyitsperimeter.Theacceleratedoutcomewillbeshownthattheusedmethodologieshavefarmoregreaterbiasedcapacityandperceptionefficiencyincomparisonwithprecedingapproaches.

Keywords: FR(Facialrecognition),biometrics,surveillance,CSLBP(CentralSymmetriclocalbinarypattern),Gaborfilter

Published
2020-06-06
How to Cite
1)Ms.AdleneEbenezerP, S.ShekharJana, AnanyaT.Saikia, PrinceYadav. (2020). Multi texture features based face recognition and tracking using Open CV. International Journal of Advanced Science and Technology, 29(05), 11071-11077. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/25187
Issue
Vol. 29 No. 05 (2020): Vol. 29 No. 05 (2020)
Section
Articles