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.