Privacy Protection Performance of De-identified Face Images with and without Background

Zongji Sun, Li Meng, Aladdin Ariyaeeinia, Xiaodong Duan, Zheng-Hua Tan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)
184 Downloads (Pure)

Abstract

This paper presents an approach to blending a de-identified face region with its original background, for the purpose of completing the process of face de-identification. The re-identification risk of the de-identified FERET face images has been evaluated for the k-Diff-furthest face de-identification method, using several face recognition benchmark methods including PCA, LBP, HOG and LPQ. The experimental results show that the k-Diff-furthest face de-identification delivers high privacy protection within the face region while blending the de-identified face region with its original background may significantly increases the re-identification risk, indicating that de-identification must also be applied to image areas beyond the face region.
Original languageEnglish
Title of host publication39th Intl. ICT (Information and Communication Technology) Convention MIPRO 2016
Place of PublicationCroatia
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1354
Number of pages1359
ISBN (Print)978-953-233-088-5
DOIs
Publication statusPublished - 31 May 2016
EventThe 39th International ICT Convention - MIPRO 2016 - Grand hotel Adriatic Congress Centre and Hotel Admiral, Opatija, Croatia
Duration: 30 May 20161 Jun 2016
http://mipro-proceedings.com/

Conference

ConferenceThe 39th International ICT Convention - MIPRO 2016
Country/TerritoryCroatia
CityOpatija
Period30/05/161/06/16
Internet address

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