PalmHashing: a novel approach for cancelable biometrics

Connie, Tee; Teoh, Andrew Beng Jin; Goh, Michael Kah Ong; Ngo, David Chek Ling

doi:10.1016/j.ipl.2004.09.014

Cited by 155 publications

(80 citation statements)

References 9 publications

(10 reference statements)

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“…Biometric Transformations: This method is based on the transformations of biometric features. It is further categorized into two: Bio-Hashing (Salting) [8], [13], [15], [16], [19], [20], [21] and Non-invertible approach [1]. Our proposed method falls under this category of Noninvertible transformation.…”

Section: Related Workmentioning

confidence: 99%

Novel Shift-Phase Transformation based Cancelable and Irrevocable Biometric Template Generation for Fingerprints

Kanagalakshmi¹,

Chandra²

2014

IJCA

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Cancelable biometrics expresses multiplicity. Now-a-days conventional authentications and identifications are advanced with biometrics. Since biometrics is unique in nature of a person, he/she must be aware on tracking the original features and also the cross matching of the same when his/her biometrics is used in different applications; and once the biometrics is compromised, those cannot be reset again. These problems are addressed by our proposed novel approach called "Shift-Phase Transformation". It is designed for irrevocable and cancellable biometric template generation. In this paper, the proposed method is used to generate a cancelable and irrevocable biometric template for fingerprint. Series of experiments are followed to test the performance of the proposed method. The factors considered for performance evaluation are the cross matching rate through ROC (using GAR and FAR), Cancelability, Irrevocability, Security, Average time of template generation and matching and also space complexity. The experimental results show the efficiency of proposed method and also show that it is a best method.

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Section: Related Workmentioning

confidence: 99%

Novel Shift-Phase Transformation based Cancelable and Irrevocable Biometric Template Generation for Fingerprints

Kanagalakshmi¹,

Chandra²

2014

IJCA

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“…Strictly speaking, perfect or near to perfect recognition results have been reported for BioHashing-based techniques applied to many biometric characteristics [5]- [8]. Generally, BioHashing derives a compact binary vector b ∈ {0, 1} m , called BioHash, from the true biometric feature vector x ∈ n , where m n, through an iterative computation of the inner products between a set of tokenized user-specific random numbers and the biometric vector x.…”

Section: Biohashingmentioning

confidence: 99%

“…BioHashing has been successfully applied to different biometric modalities [5]- [8] and its reported near-to-perfect results have received much attention [9], [10]. However, the main drawback of BioHashing is that its claimed performance degrades significantly when an imposter gains access to a legitimate token and tries to authenticate herself as a legitimate user.…”

Section: Introductionmentioning

confidence: 99%

BioEncoding: A Reliable Tokenless Cancelable Biometrics Scheme for Protecting IrisCodes

Ouda

Tsumura

Nakaguchi

2010

IEICE Trans. Inf. & Syst.

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SUMMARYDespite their usability advantages over traditional authentication systems, biometrics-based authentication systems suffer from inherent privacy violation and non-revocability issues. In order to address these issues, the concept of cancelable biometrics was introduced as a means of generating multiple, revocable, and noninvertible identities from true biometric templates. Apart from BioHashing, which is a two-factor cancelable biometrics technique based on mixing a set of tokenized userspecific random numbers with biometric features, cancelable biometrics techniques usually cannot preserve the recognition accuracy achieved using the unprotected biometric systems. However, as the employed token can be lost, shared, or stolen, BioHashing suffers from the same issues associated with token-based authentication systems. In this paper, a reliable tokenless cancelable biometrics scheme, referred to as BioEncoding, for protecting IrisCodes is presented. Unlike BioHashing, BioEncoding can be used as a one-factor authentication scheme that relies only on sole IrisCodes. A unique noninvertible compact bit-string, referred to as BioCode, is randomly derived from a true IrisCode. Rather than the true IrisCode, the derived BioCode can be used efficiently to verify the user identity without degrading the recognition accuracy obtained using original IrisCodes. Additionally, BioEncoding satisfies all the requirements of the cancelable biometrics construct. The performance of BioEncoding is compared with the performance of BioHashing in the stolen-token scenario and the experimental results show the superiority of the proposed method over BioHashing-based techniques.

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“…These methods can be roughly categorized into two types: (1) Robust hash functions, where small changes in a biometric sample would yield the same hash value (e.g., [1], [2], [3], [4], [5]); (2) Similarity-preserving hard-to-invert transformations, where similarity of biometric samples would be preserved through the transformation, yet it is difficult to find the original template from a transformed one (e.g., [6], [7], [8], [9]). We note, however, that there lacks rigorous security analysis for these techniques.…”

Section: Introductionmentioning

confidence: 99%

Protecting Biometric Templates With Sketch: Theory and Practice

Sutcu

Li²,

Memon³

2007

IEEE Trans.Inform.Forensic Secur.

227

102

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Abstract-Secure storage of biometric templates has become an increasingly important issue in biometric authentication systems. We study how secure sketch, a recently proposed errortolerant cryptographic primitive, can be applied to protect the templates. We identify several practical issues that are not addressed in the existing theoretical framework, and show the subtleties in evaluating the security of practical systems. We propose a general framework to design and analyze secure sketch for biometric templates, and give a concrete construction for face biometrics as an example. We show that theoretical bounds have their limitations in practical schemes, and the exact security of the system often needs more careful investigations. We further discuss how to use secure sketch in the design of multi-factor authentication systems that allow easy revocation of user credentials.

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PalmHashing: a novel approach for cancelable biometrics

Cited by 155 publications

References 9 publications

Novel Shift-Phase Transformation based Cancelable and Irrevocable Biometric Template Generation for Fingerprints

Novel Shift-Phase Transformation based Cancelable and Irrevocable Biometric Template Generation for Fingerprints

BioEncoding: A Reliable Tokenless Cancelable Biometrics Scheme for Protecting IrisCodes

Protecting Biometric Templates With Sketch: Theory and Practice

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