A COMPARATIVE STUDY ON SEGMENTATION METHODS USED IN CANCELABLE BIOMETRICS

The Cancelable biometrics is one of the
recently used safest methods to protect the
original templates by duplicate values. In
order to avoid the theft of biometric pattern,
it is very must to design irrevocable and
non- invertible transformations to create
cancellable biometric templates. To improve
security, the cancelable biometric values can
be generated to interpret the original
biometric features. Segmentation is used in
image to separate the image according to
similarity, discontinuity or by determining
the edges to explore the information. In this
paper, various segmentation methods are
surveyed in the aspect of non- invertible
template generation and security.