De-Identifying Facial Images Using Singular Value Decomposition

P. Chriskos, O. Zoidi, Anastasios Tefas, Ioannis Pitas

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

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Abstract

In this paper, a method is proposed that manipulates images in a manner that hinders face recognition by automatic recognition algorithms. The purpose of this method, is to partly degrade image quality, so that humans can identify the person
or persons in a scene, while common classification algorithms fail to do so. The approach used to achieve this involves the use of singular value decomposition (SVD). From experiments it can be concluded that, the method reduces the percentage of correct classification rate by over 90% . In addition, the final image is
not degraded beyond recognition by humans.
Original languageEnglish
Title of host publication2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2014)
Subtitle of host publicationProceedings of a meeting held 26-30 May 2014, Opatija, Croatia
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1240-1245
Number of pages6
ISBN (Electronic)9789532330816
ISBN (Print)9781479956579
DOIs
Publication statusPublished - Sep 2014
EventIEEE International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) - oPATIJA/aBBAZIA, Croatia
Duration: 30 May 20143 Jun 2014

Conference

ConferenceIEEE International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)
CountryCroatia
CityoPATIJA/aBBAZIA
Period30/05/143/06/14

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