Volume 14 No 1 (2022): International Journal of Early Childhood Special Education
Ear Detection in Unconstrained Environment using Faster R-CNN
Vinny Varkey Sam, Natarajan. K, Resmi K R
DOI: 10.9756/INT-JECSE/V14I1.360
Keywords: Faster R-CNN, Ear biometrics, Deep Learning, Ear Detection
Abstract
Biometricbasedhumanidentificationsystemsareinhighdemandduetogrowingsecurityandprivacyconcerns.Thehumanearisoneoftheimportantphysiologicalbiometricusedextremelyforpersonalrecognitionnowadays.Ear detectionisacrucialstageinthecomputationalprocessofearrecognition.How- ever, there is a significant absence of ear detection techniques in the literature. Thiscreatesaproblemintermsofgrowingtheuseandapplicationsofearrecog- nition systems in commercial systems. Uncontrolled conditions such as pose change, occlusion, and change in illumination offers a significant barrier toclas- sic ear detection algorithms. This study provides an efficient method for auto- maticallydetectingearsfrom2DprofileimagesusingFasterR-CNN.Thesystem goes through two stages of training: First, pretrained CNN model ResNet50 is trainedtoclassifyearandnon-earsegments.Second,theunifiedRegionProposal Network(RPN)withResNet50,istrainedtodetectearfromprofilefaceimages.
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Volume 14 No 1 (2022): International Journal of Early Childhood Special EducationSection
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