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Paper Detail

Paper IDIFS-1.8
Paper Title SECURITY ASSESSMENT OF SELECTIVELY ENCRYPTED VISUAL DATA: IRIS RECOGNITION ON PROTECTED SAMPLES
Authors Martin Rieger, Jutta Hämmerle-Uhl, Andreas Uhl, University of Salzburg, Austria
SessionIFS-1: Biometrics
LocationArea K
Session Time:Monday, 20 September, 13:30 - 15:00
Presentation Time:Monday, 20 September, 13:30 - 15:00
Presentation Poster
Topic Information Forensics and Security: Biometrics
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract Security assessment of partially encrypted visual data is known to be difficult. We show that iris recognition performance on encrypted sample data turns out to be a good predictor for protection strength of encryption schemes for visual data, in particular in settings where image structure and intelligibility is preserved to some extent. This is of particular interest, as common image quality metrics used for this task exhibit specifically poor prediction quality in this setting.