Authors:
Rumana Nazmul
1
;
Md. Rafiqul Islam
1
and
Ahsan Raja Chowdhury
2
Affiliations:
1
Charles Sturt University, Australia
;
2
Federation University Australia, Australia
Keyword(s):
Biometric Authentication, Cancellable Template, Minutia.
Abstract:
With the emergence and extensive deployment of biometric based user authentication system, ensuring the security
of biometric template is becoming a growing concern in research community. One approach of securing
biometric data is cancellable biometric which transforms the original biometric features into a non-invertible
form for enrolment and matching. However, most of the schemes for generating cancellable template are
alignment-based requiring an accurate alignment of query and enrolled images, which is very difficult to
achieve. In this paper, we propose an alignment-free technique for generating revocable fingerprint template
that exploits the local features i.e., minutiae details in a fingerprint image. A rotation and translation invariant
values are extracted from the neighbouring region of each minutia. The invariant values are then used as
inputs in a transformation function and combined with a stored and a user-specific key based random vectors
using the type and
orientation information of the minutiae. Hence, by varying the stored and user-specific
keys in the transformation, multiple application-specific templates can be generated to preserve users’ privacy.
Besides, if the transformed template is compromised, a new template can be reissued by assigning
different keys for transformation to achieve revocability. Furthermore, the proposed approach preserves the
actual geometric relationships between the enrolled and query templates even after transformation and offers
reasonable recognition rate. Experiments conducted on FVC2000 DB1 demonstrate that the proposed method
exhibits promising performance in terms of recognition accuracy, computational complexity, security along
with diversity, revocability and non-invertibility that are the key issues of cancellable template generation.
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