Feature Fusion Methods for Indexing and Retrieval of Biometric Data: Application to Face Recognition with Privacy Protection

07/27/2021
by   Pawel Drozdowski, et al.
25

Computationally efficient, accurate, and privacy-preserving data storage and retrieval are among the key challenges faced by practical deployments of biometric identification systems worldwide. In this work, a method of protected indexing of biometric data is presented. By utilising feature-level fusion of intelligently paired templates, a multi-stage search structure is created. During retrieval, the list of potential candidate identities is successively pre-filtered, thereby reducing the number of template comparisons necessary for a biometric identification transaction. Protection of the biometric probe templates, as well as the stored reference templates and the created index is carried out using homomorphic encryption. The proposed method is extensively evaluated in closed-set and open-set identification scenarios on publicly available databases using two state-of-the-art open-source face recognition systems. With respect to a typical baseline algorithm utilising an exhaustive search-based retrieval algorithm, the proposed method enables a reduction of the computational workload associated with a biometric identification transaction by 90 biometric performance. Furthermore, by facilitating a seamless integration of template protection with open-source homomorphic encryption libraries, the proposed method guarantees unlinkability, irreversibility, and renewability of the protected biometric data.

READ FULL TEXT

page 1

page 5

page 6

page 7

page 8

page 9

research
03/05/2021

Signal-level Fusion for Indexing and Retrieval of Facial Biometric Data

The growing scope, scale, and number of biometric deployments around the...
research
04/23/2022

MLP-Hash: Protecting Face Templates via Hashing of Randomized Multi-Layer Perceptron

Applications of face recognition systems for authentication purposes are...
research
10/11/2021

Biometric Template Protection for Neural-Network-based Face Recognition Systems: A Survey of Methods and Evaluation Techniques

This paper presents a survey of biometric template protection (BTP) meth...
research
02/21/2020

Unsupervised Enhancement of Soft-biometric Privacy with Negative Face Recognition

Current research on soft-biometrics showed that privacy-sensitive inform...
research
04/08/2020

DashCam Pay: A System for In-vehicle Payments Using Face and Voice

We present an open loop system, called DashCam Pay, that enables in-vehi...
research
08/15/2022

HEFT: Homomorphically Encrypted Fusion of Biometric Templates

This paper proposes a non-interactive end-to-end solution for secure fus...
research
03/19/2020

Blockchain meets Biometrics: Concepts, Application to Template Protection, and Trends

Blockchain technologies provide excellent architectures and practical to...

Please sign up or login with your details

Forgot password? Click here to reset