Visible to the public Selective Jpeg2000 Encryption of Iris Data: Protecting Sample Data vs. Normalised Texture

TitleSelective Jpeg2000 Encryption of Iris Data: Protecting Sample Data vs. Normalised Texture
Publication TypeConference Paper
Year of Publication2019
AuthorsRieger, Martin, Hämmerle-Uhl, Jutta, Uhl, Andreas
Conference NameICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Keywordsbiometric encryption, biometric system security, biometrics (access control), cryptographic protection, cryptography, data compression, Image coding, image segmentation, image texture, Iris recognition, Iris sample protection, JPEG2000, JPEG2000 compressed iris data, low complexity selective encryption schemes, Metrics, normalised texture data, pubcrawl, resilience, Resiliency, Scalability, Selective Encryption, selective jpeg2000 encryption
AbstractBiometric system security requires cryptographic protection of sample data under certain circumstances. We assess low complexity selective encryption schemes applied to JPEG2000 compressed iris data by conducting iris recognition on the selectively encrypted data. This paper specifically compares the effects of a recently proposed approach, i.e. applying selective encryption to normalised texture data, to encrypting classical sample data. We assess achieved protection level as well as computational cost of the considered schemes, and particularly highlight the role of segmentation in obtaining surprising results.
Citation Keyrieger_selective_2019