Using Ears for Human Identification

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dc.contributor.authorSaleh, Mohamed Ibrahimen
dc.contributor.committeechairAbbott, A. Lynnen
dc.contributor.committeememberSchaumont, Patrick R.en
dc.contributor.committeememberWyatt, Christopher L.en
dc.contributor.departmentElectrical and Computer Engineeringen
dc.date.accessioned2014-03-14T20:38:22Zen
dc.date.adate2007-07-18en
dc.date.available2014-03-14T20:38:22Zen
dc.date.issued2007-05-07en
dc.date.rdate2007-07-18en
dc.date.sdate2007-05-23en
dc.description.abstractBiometrics includes the study of automatic methods for distinguishing human beings based on physical or behavioral traits. The problem of finding good biometric features and recognition methods has been researched extensively in recent years. Our research considers the use of ears as a biometric for human recognition. Researchers have not considered this biometric as much as others, which include fingerprints, irises, and faces. This thesis presents a novel approach to recognize individuals based on their outer ear images through spatial segmentation. This approach to recognizing is also good for dealing with occlusions. The study will present several feature extraction techniques based on spatial segmentation of the ear image. The study will also present a method for classifier fusion. Principal components analysis (PCA) is used in this research for feature extraction and dimensionality reduction. For classification, nearest neighbor classifiers are used. The research also investigates the use of ear images as a supplement to face images in a multimodal biometric system. Our base eigen-ear experiment results in an 84% rank one recognition rate, and the segmentation method yielded improvements up to 94%. Face recognition by itself, using the same approach, gave a 63% rank one recognition rate, but when complimented with ear images in a multimodal system improved to 94% rank one recognition rate.en
dc.description.degreeMaster of Scienceen
dc.identifier.otheretd-05232007-093839en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-05232007-093839/en
dc.identifier.urihttp://hdl.handle.net/10919/33158en
dc.publisherVirginia Techen
dc.relation.haspartThesis_Saleh.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectEar Recognitionen
dc.subjectEaren
dc.subjectMultimodal Biometricsen
dc.subjectBiometricen
dc.subjectSegmentationen
dc.subjectEigen-Faceen
dc.subjectEigen-Earsen
dc.subjectPattern Recognitionen
dc.subjectPrincipal Components Analysis (PCA)en
dc.subjectFace Recognitionen
dc.titleUsing Ears for Human Identificationen
dc.typeThesisen
thesis.degree.disciplineElectrical and Computer Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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