NDLI: PRNU-based detection of facial retouching

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PRNU-based detection of facial retouching

Content Provider	IET Digital Library
Author	Rathgeb, Christian Botaljov, Angelika Stockhardt, Fabian Isadskiy, Sergey Debiasi, Luca Uhl, Andreas Busch, Christoph
Abstract	Nowadays, many facial images are acquired using smart phones. To ensure the best outcome, users frequently retouch these images before sharing them, e.g. via social media. Modifications resulting from used retouching algorithms might be a challenge for face recognition technologies. Towards deploying robust face recognition as well as enforcing anti-photoshop legislations, a reliable detection of retouched face images is needed. In this work, the effects of facial retouching on face recognition are investigated. A qualitative assessment of 32 beautification apps is conducted. Based on this assessment five apps are chosen which are used to create a database of 800 beautified face images. Biometric performance is measured before and after retouching using a commercial face recognition system. Subsequently, a retouching detection system based on the analysis of photo response non-uniformity (PRNU) is presented. Specifically, scores obtained from analysing spatial and spectral features extracted from PRNU patterns across image cells are fused. In a scenario, in which unaltered bona fide images are compressed to the average sizes of the retouched images using JPEG, the proposed PRNU-based detection scheme is shown to robustly distinguish between bona fide and retouched images achieving an average detection equal error rate of 13.7% across all retouching algorithms.
Starting Page	154
Ending Page	164
Page Count	11
ISSN	20474938
Volume Number	9
e-ISSN	20474946
Issue Number	Issue 4, Jul (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-bmt/9/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2019.0196
Journal	IET Biometrics
Publisher Date	2020-03-24
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Antiphotoshop Legislations Beautification Application Beautified Face Image Biometric Performance Biomimetics Computer Vision And Image Processing Technique Data Security Face Recognition Face Recognition Technology Facial Appearance Facial Image Facial Retouching Image And Video Coding Image Coding Image Recognition JPEG Compression Object Detection Photo Response Nonuniformity PRNU-based Detection Retouching Algorithm Retouching Detection System Robust Face Recognition
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Vision and Pattern Recognition Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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