Cancelable biometric filters for face recognition

By Marios Savvides, B. V. Vijaya Kumar, Pradeep K. Khosla. Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., 2004

319 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Signal Processing

View Paper: https://www.semanticscholar.org/paper/4159663f0b292fd8cc7411929be9d669bb98b386

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Citations in the corpus

Cancelable Biometrics: A review (2015, methodology): “Motivated by the success of the correlation filter-based methods in pattern recognition and computer vision applications [22], a random convolution method for generating cancelable biometric templates was proposed in [23].”
Random Multispace Quantization as an Analytic Mechanism for BioHashing of Biometric and Random Identity Inputs (2006, methodology): “Savvides et al. [ 14 ] proposed a cancellable biometrics scheme which encrypted the training images used to synthesize the correlation filter for biometrics authentication.”
Security algorithm of face recognition based on local binary pattern and random projection (2010, methodology): “[5] introduced a scheme which encrypted the training images used to synthesize the correlation filter for face authentication.”
Generating Cancelable Fingerprint Templates (2007, background): “Further details may be found in [8], [22], [23], [25], [26].”
Biometric Template Security (2008, unknown): “Another example of salting is the cancelable face filter approach proposed in [ 51 ] where user-specific random kernels are convolved with the face images during enrollment and authentication.”
Cracking Fuzzy Vaults and Biometric Encryption (2007, methodology): “In [14] a related approach was presented for face-based protection, except it used a MACE filter rather than standard correlation, and it did not include the link-table component to release the key.”
A survey on biometric cryptosystems and cancelable biometrics (2011, methodology): “Any invertible transform of biometric feature vector elements represents an approach to biometric salting even if biometric templates have been extracted in a way that it is not feasible to reconstruct the original biometric signal [137].”