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dc.contributor.advisorShah, Shishir Kirit
dc.creatorTripathi, Shikha 1991-
dc.date.accessioned2019-12-17T01:56:55Z
dc.date.createdDecember 2019
dc.date.issued2019-12
dc.date.submittedDecember 2019
dc.identifier.urihttps://hdl.handle.net/10657/5543
dc.description.abstractFaces constitute a susceptible portion of an image, which in this age has become vulnerable with the increasing use of applications involving face detectors. Increasing concerns over the privacy of people have led to research involving anonymizing faces, privacy-preserving feature selection from facial images, active learning to obfuscate the visual appearance of a detected face, and many other approaches that make the face unviewable during its use in an application, specifically in the case of facial matching or face recognition. Along the lines of preserving privacy of detected faces during a face matching process, we aim to provide a possible solution to the privacy issues by utilizing the frequency components of an image instead of using the intensity components. This process involves computing a frequency transform of the detected facial image and using the frequency coefficients in the matching process. The matching is established using metrics such as the cosine distance, correlation value, and the Manhattan distance between two facial images. We use the three metrics to compute a combined score and establish a valid match by use of empirically derived threshold values. We analyze the role of specific DCT coefficients in making the combined decision and test the overall algorithm on the Aberdeen and Utrecht face image dataset.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.rightsThe author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s).
dc.subjectPrivacy-preserving
dc.subjectFace-matching
dc.titlePrivacy-Preserving Face Matching Using Frequency Components
dc.date.updated2019-12-17T01:56:56Z
dc.type.genreThesis
thesis.degree.nameMaster of Science
thesis.degree.levelMasters
thesis.degree.disciplineComputer Science
thesis.degree.grantorUniversity of Houston
thesis.degree.departmentComputer Science, Department of
dc.contributor.committeeMemberGabriel, Edgar
dc.contributor.committeeMemberWu, Xuqing
local.embargo.terms2021-12-01
local.embargo.lift2021-12-01
dcterms.accessRightsThe full text of this item is not available at this time because the student has placed this item under an embargo for a period of time. The Libraries are not authorized to provide a copy of this work during the embargo period.
dc.type.dcmiText
dc.format.digitalOriginborn digital
dc.description.departmentComputer Science, Department of
thesis.degree.collegeCollege of Natural Sciences and Mathematics


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