Abstract
BIOMETRIC authentication systems are gaining
wide-spread popularity in recent years due to the advances in
sensor technologies as well as improvements in the matching
algorithms. Most biometric systems assume that the template
in the system is secure due to human supervision (e.g.,
immigration checks and criminal database search) or physical
protection (e.g., laptop locks and door locks). Preserving the
privacy of digital biometric data (e.g., face images) stored in a
central database has become of paramount importance. VCS
is a cryptographic technique that allows for the encryption of
visual information such that decryption can be performed
using the human visual system. This work improves the
security of visual cryptography by scrambling the image using
random permutation.
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