Cancelable biometric template generation and protection schemes: A review

Chandra, E.; Kanagalakshmi, K.

doi:10.1109/icectech.2011.5941948

Cited by 15 publications

(8 citation statements)

References 38 publications

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“…ii. In feature-based approach, the features of face; for example nose and eyes are segmented, and used as input data [1] . There are a number of methods lie under this category, including geometrical feature [16] , elastic bunch graph matching (EBGM) [17] , and convolutional neural network (CNN) [18] .…”

Section: Illumination Invariantmentioning

confidence: 99%

“…Face recognition remains a challenging biometric problem since no technique could provide a robust solution to all situations such as variation of facial expression, pose invariant, illumination invariant, and occlusion among others. Biometric has a wide range application especially in surveillance, security monitoring, immigration, any other applications for identification and recognition [1] .…”

Section: Introductionmentioning

confidence: 99%

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A MATLAB-based Convolutional Neural Network Approach for Face Recognition System

Radzi¹

2016

JBPR

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Section: Illumination Invariantmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A MATLAB-based Convolutional Neural Network Approach for Face Recognition System

Radzi¹

2016

JBPR

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“…To impart privacy to data stored in biometric database, Pang et al [11] introduces a method where a transformed biometric template is saved in the database instead of the original biometric. The traditional way of face data storage has many disadvantages.…”

Section: Related Workmentioning

confidence: 99%

Biometric privacy using visual cryptography, halftoning and watermarking for multiple secrets

Anusree¹,

Binu²

2014

2014 IEEE National Conference on Communication, Signal Processing and Networking (NCCSN)

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It is important to secure the privacy of digital face image that are stored in central database. To impart privacy to such biometric face images, first the digital face image is split into two such that, each of it gives no idea of existence of the original face image and the original image can be retrieved only when both split images available. To achieve this, Visual Cryptography, Halftoning along with Digital Watermarking are employed. The method can be extended to preserve the privacy of a maximum of any n images.

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“…CB is a parameterized irreversible yet revocable transform to ensure security and privacy of the biometric template. [4][5][6][7]. Revocability of CB demands the transformed template can be cancelled and replaced by changing the parameter (or known as helper data) whenever required.…”

Section: Introductionmentioning

confidence: 99%

A Genetic Algorithm Enabled Similarity-Based Attack on Cancellable Biometrics

Dong

Jin

2019

2019 IEEE 10th International Conference on Biometrics Theory, Applications and Systems (BTAS)

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Cancellable biometrics (CB) as a means for biometric template protection approach refers to an irreversible yet similarity preserving transformation on the original template. With similarity preserving property, the matching between template and query instance can be performed in the transform domain without jeopardizing accuracy performance. Unfortunately, this trait invites a class of attack, namely similarity-based attack (SA). SA produces a preimage, an inverse of transformed template, which can be exploited for impersonation and cross-matching. In this paper, we propose a Genetic Algorithm enabled similaritybased attack framework (GASAF) to demonstrate that CB schemes whose possess similarity preserving property are highly vulnerable to similarity-based attack. Besides that, a set of new metrics is designed to measure the effectiveness of the similarity-based attack. We conduct the experiment on two representative CB schemes, i.e. BioHashing and Bloom-filter. The experimental results attest the vulnerability under this type of attack.

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Cancelable biometric template generation and protection schemes: A review

Cited by 15 publications

References 38 publications

A MATLAB-based Convolutional Neural Network Approach for Face Recognition System

A MATLAB-based Convolutional Neural Network Approach for Face Recognition System

Biometric privacy using visual cryptography, halftoning and watermarking for multiple secrets

A Genetic Algorithm Enabled Similarity-Based Attack on Cancellable Biometrics

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