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An effective template protection method for face and voice cancellable identification

Canuto, Anne, Pintro, Fernando, Fairhurst, Michael (2014) An effective template protection method for face and voice cancellable identification. International Journal of Hybrid Intelligent Systems, 11 (3). pp. 157-166. ISSN 1448-5869. E-ISSN 1875-8819. (doi:10.3233/HIS-140192) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:43689)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.3233/HIS-140192

Abstract

Cancellable biometrics adopt an approach in which biometric templates can be cancelled and replaced if compromised, for example if they are lost or stolen, and can therefore overcome some of the security concerns about biometric-based authentication systems. This paper proposes a simple and effective template protection method (cancellable transformation) for providing cancellable data, called the double sum (DS) method, which performs a sum procedure over the attributes that makes the definition of the original data a hard (and almost impossible) process. In order to investigate the feasibility of the proposed method, an empirical analysis is conducted and we use as examples two different biometric modalities (face and voice) separately and in a multi-modal context (multi-biometric). The main aim of this paper is to provide greater security and improved performance in the biometric authentication process. The datasets used in this analysis were TIMIT for voice and the AR Face dataset for face. As a result of this analysis, we will observe that the proposed transformation offered higher performance to two existing cancellable transformations.

Item Type: Article
DOI/Identification number: 10.3233/HIS-140192
Subjects: T Technology
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Depositing User: Tina Thompson
Date Deposited: 24 Oct 2014 15:48 UTC
Last Modified: 29 May 2019 13:16 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/43689 (The current URI for this page, for reference purposes)
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