Preserving privacy by de-identifying face images

  title={Preserving privacy by de-identifying face images},
  author={E. Newton and L. Sweeney and B. Malin},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  • E. Newton, L. Sweeney, B. Malin
  • Published 2005
  • Computer Science
  • IEEE Transactions on Knowledge and Data Engineering
  • In the context of sharing video surveillance data, a significant threat to privacy is face recognition software, which can automatically identify known people, such as from a database of drivers' license photos, and thereby track people regardless of suspicion. [...] Key Method The algorithm determines similarity between faces based on a distance metric and creates new faces by averaging image components, which may be the original image pixels (k-Same-Pixel) or eigenvectors (k-Same-Eigen). Results are presented…Expand Abstract

    Figures and Topics from this paper.

    Preserving Privacy by De-identifying Facial Images
    • 76
    • PDF
    Efficient Privacy-Preserving Face Recognition
    • 287
    • PDF
    Visual Cryptography for Biometric Privacy
    • 158
    • PDF
    SCiFI - A System for Secure Face Identification
    • 200
    • PDF
    Model-Based Face De-Identification
    • 120
    • PDF
    Integrating Utility into Face De-identification
    • 101
    • PDF
    Face De-identification
    • 52
    • PDF


    Publications referenced by this paper.