OTB-morph: One-Time Biometrics via Morphing applied to Face Templates

  title={OTB-morph: One-Time Biometrics via Morphing applied to Face Templates},
  author={Mahdieh Ghafourian and Julian Fierrez and Rub{\'e}n Vera-Rodr{\'i}guez and Ignacio Serna and Aythami Morales},
  journal={2022 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)},
Cancelable biometrics refers to a group of techniques in which the biometric inputs are transformed intentionally using a key before processing or storage. This transformation is repeatable enabling subsequent biometric comparisons. This paper introduces a new scheme for cancelable biometrics aimed at protecting the templates against potential attacks, applicable to any biometric-based recognition system. Our proposed scheme is based on time-varying keys obtained from morphing random biometric… 

Figures and Tables from this paper

OTB-morph: One-Time Biometrics via Morphing

A new idea to exploit as a transformation function for cancelable biometrics aimed at protecting the templates against iterative optimization attacks is introduced, based on time-varying keys and morphing transformations.

Toward Face Biometric De-identification using Adversarial Examples

It is discovered, unlike previous claims in the literature, that it is not easy to get a high protection success rate (suppressing identification rate) with imperceptible adversarial perturbation to the human visual system.

Combining Blockchain and Biometrics: A Survey on Technical Aspects and a First Legal Analysis

This paper provides a survey of technical literature research on the combination of blockchain and biometrics and includes a first legal analysis of this integration to shed light on challenges and potentials and supplies technical and legal recommendations to reap the benefits and mitigate the risks of the combination.



Towards cancelable multi-biometrics based on bloom filters: a case study on feature level fusion of face and iris

The presented technique enables a feature level fusion of different biometrics to a single protected template, improving privacy protection compared to the corresponding systems based on a single biometric trait.

Tokenless Cancelable Biometrics Scheme for Protecting Iris Codes

This paper presents a new one-factor cancelable biometrics scheme for protecting Iris Codes that satisfies the requirements of revocability, diversity and noninvertibility without deteriorating the recognition performance.

Protected Facial Biometric Templates Based on Local Gabor Patterns and Adaptive Bloom Filters

In the present work, irreversible face templates based on adaptive Bloom filters are proposed, and performance and security evaluations proof the irreversibility of the protected templates, while preserving the verification performance.

Cancelable Templates for Sequence-Based Biometrics with Application to On-line Signature Recognition

An approach is proposed that is able to guarantee security and renewability to biometric templates, which can be applied to any biometrics whose template can be represented by a set of sequences, in order to generate multiple transformed versions of the template.

Cancelable Biometrics: A review

An overview of various cancelable biometric schemes for biometric template protection is provided and the merits and drawbacks of available cancelableBiometric systems are discussed and promising avenues of research are identified.

Cracking Cancelable Fingerprint Template of Ratha

It is revealed in this paper that the form of the transforms and the parameters chosen in his implementation weaken the many-to-one property, which results in the possible recovery of original minutiae from one transformed template.

Generating Cancelable Fingerprint Templates

This paper demonstrates several methods to generate multiple cancelable identifiers from fingerprint images to overcome privacy concerns and concludes that feature-level cancelable biometric construction is practicable in large biometric deployments.

Generation of Cancelable Iris Templates via Randomized Bit Sampling

This paper has generated cancelable IrisCode features, coined as locality sampled code (LSC), which simultaneously provides strong security guarantees and satisfactory system performance, and formally analyzed the security guarantees of non-invertibility, revocability, and unlinkability.

Face Recognition Systems Under Morphing Attacks: A Survey

A conceptual categorization and metrics for an evaluation of such methods are presented, followed by a comprehensive survey of relevant publications, and technical considerations and tradeoffs of the surveyed methods are discussed.

Biometric cryptosystems: issues and challenges

This work presents various methods that monolithically bind a cryptographic key with the biometric template of a user stored in the database in such a way that the key cannot be revealed without a successful biometric authentication.