Authors: Rumana Nazmul 1 ; Md. Rafiqul Islam 1 and Ahsan Raja Chowdhury 2

Affiliations: 1 Charles Sturt University, Australia ; 2 Federation University Australia, Australia

ISBN: 978-989-758-282-0

ISSN: 2184-4356

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 o rientation 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. (More)

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Paper citation in several formats:
Nazmul, R.; Islam, M. and Chowdhury, A. (2018). Alignment-free Cancellable Template Generation for Fingerprint based Authentication.In Proceedings of the 4th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP, ISBN 978-989-758-282-0, ISSN 2184-4356, pages 361-366. DOI: 10.5220/0006614303610366

author={Rumana Nazmul. and Md. Rafiqul Islam. and Ahsan Raja Chowdhury.},
title={Alignment-free Cancellable Template Generation for Fingerprint based Authentication},
booktitle={Proceedings of the 4th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP,},


JO - Proceedings of the 4th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP,
TI - Alignment-free Cancellable Template Generation for Fingerprint based Authentication
SN - 978-989-758-282-0
AU - Nazmul, R.
AU - Islam, M.
AU - Chowdhury, A.
PY - 2018
SP - 361
EP - 366
DO - 10.5220/0006614303610366

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