Random area-perimeter method for generation of unimodal and multimodal cancelable biometric templates

摘要

In recent times, biometric based authentication systems have seen a tremendous growth in various applications. However, if databases in multiple applications are created using the same biometric characteristic and algorithm, then any compromise of the stored template in one biometric system may jeopardise the security of the other biometric systems as well. More importantly, such a compromise may also lead to a permanent loss of the biometric characteristic. Therefore, the cancelability or revocability of biometrics has become quite an essential requirement. In this paper, a novel scheme, the Random Area & Perimeter Method (RAPM)) is presented in which a biometric characteristic of an individual is transformed into random values which are stored as cancelable biometric templates. The proposed scheme computes area and perimeter of the Bezier curve which are obtained through interpolation of feature points of original biometrics and a random point chosen by the user. The area and perimeter thus computed exhibit pseudo-random properties. This technique outperforms many existing techniques. Moreover, a dimensionality reduction to the tune of more than 95% has been obtained without compromising the matching performance. The average values obtained for EER, DI and RI are 0.0045, 6.28 and 99.64 respectively. These values are better than those obtained from the available state of the art approaches. The proposed scheme has also been analysed for various privacy issues like non-invertibility, revocability, and unlinkability.