Abstract

The traditional Cancellable biometrics scheme needs another key or token to generate the revocable template, which usually suffers from the token-stolen problem. To solve this problem, a one-factor cancellable palmprint biometric recognition scheme based on Orthogonal Index of Maximum (OIOM) hash and Minimum Signature Hash (MSH) is proposed to generate pseudonymous identifier. Firstly, to improve the efficiency and effectiveness, a parallel structure is designed to obtain Orthogonal Gaussian random projection(GRP)matrices, which is employed to generate the OIOM hash code. Secondly, a random binary string is XOR the binary OIOM hash code to construct the helper data and it is stored in the database. Meanwhile, this string is hashed by MSH to get the final pseudonymous identifier. Lastly, during matching stage, based on helper data and a palmprint images, another pseudonymous identifier is generated to recognition. This implies that, just one factor, a palmprint of user, is needed in the matching stage, and therefore the privacy of user is preserved. To evaluate the proposed scheme, PolyU database and touchless TJU database are used in experiments. The noninvertible, renewability, unlinkability and several security attacks of the proposed scheme are analyzed. The experiment results and analysis show that the proposed scheme has strong security on the basis of maintaining palmprint recognition performance.

Highlights

  • In today’s information society, biometric technology is becoming more and more popular

  • The false acceptance rate (FAR), the false rejection rate (FRR), the Equal error rate (EER) and the receiver operating characteristic (ROC) curve are calculated to estimate the performance of the performance

  • The proposed scheme that is one-factor palmprint recognition based on Orthogonal Index of Maximum (OIOM) and Minimum Signature Hash in this paper meets the four design criteria of biometric template protection

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Summary

Introduction

In today’s information society, biometric technology is becoming more and more popular. This has led to the emergence of a large number of biological templates. Compared with traditional identification methods such as keys, passwords and ID cards, biometric recognition technology is more secure and convenient [1]. If a large number of unprotected biometric templates are stored, various security issues and personal privacy issues will arise when these templates are attacked by opponents [2]. When a biometric template is stolen by an opponent, he can pretend that you are doing some illegal activities. Because every biometric feature of everyone is limited, once stolen, it will not be updated. The protection of biometric templates is an urgent and crucial issue [3]

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