Generating cancelable palmprint templates via coupled nonlinear dynamic filters and multiple orientation palmcodes

Li, Hengjian; Zhang, Jiashu; Zhang, Zutao

doi:10.1016/j.ins.2010.06.040

Cited by 39 publications

(8 citation statements)

References 29 publications

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“…Biometrics are divided into: Static or permanent characteristics . Static biometrics are mostly physical features which do not change or the changes are minor over the life span such as fingerprints (Jain et al ., 2001), palm prints (Li et al ., 2010), face dynamics (Connolly et al ., 2012), retina (Saraswathi et al ., 2011), iris (Sanchez-Avila and Sanchez-Reillo, 2005), tongue shape (Huang et al ., 2010), etc. Dynamic or soft characteristics . Dynamic or soft biometrics are behavioral characteristics which change rapidly such as gait (Kale et al ., 2004), keystroke dynamics (Bergadano et al ., 2002), handwriting (Ramann et al ., 2002; Ballard et al ., 2006), lip movement (Luettin et al ., 1996; Shipilova, 2006), voice/speech (Sanderson and Paliwal, 2001), blinking (Westeyn et al ., 2005), etc. …”

Section: Introductionmentioning

confidence: 99%

Biometric template security: an overview

Riaz

Khan

2018

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Purpose The security of the stored biometric template is itself a challenge. Feature transformation techniques and biometric cryptosystems are used to address the concerns and improve the general acceptance of biometrics. The purpose of this paper is to provide an overview of different techniques and processes for securing the biometric templates. Furthermore, the paper explores current research trends in this area. Design/methodology/approach In this paper, the authors provide an overview and survey of different features transformation techniques and biometric cryptosystems. Findings Feature transformation techniques and biometric cryptosystems provide reliable biometric security at a high level. There are many techniques that provide provable security with practical viable recognition rates. However, there remain several issues and challenges that are being faced during the deployment of these technologies. Originality/value This paper provides an overview of currently used techniques for securing biometric templates and also outlines the related issues and challenges.

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Section: Introductionmentioning

confidence: 99%

Biometric template security: an overview

Riaz

Khan

2018

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“…Instead, a transformed version of the original template is stored, named cancelable biometric template [12]. For palmprint based authentication system, the idea of cancelable palmprint biometric has been introduced in, which can protect the original palmprint template as well as revoke and reissue novel template when the old ones are lost or stolen [13][14][15]. In order to solve the intra-class template variation problem while maintaining the template, a hybrid palmprint template protection scheme is proposed in this paper.…”

Section: Introductionmentioning

confidence: 99%

“…Firstly, a novel cancelable is generated by measuring the Gabor based palmprint image with a chaotic random matrix. The basic idea is to transform a real value palmprint feature vector into a binary feature vector using a chaotic random matrix(The chaotic cipher has application in biometric security [13,16]). Then, the obtained Gabor representation is compared with a chaotic random matrix to generate cancelable palmprint template.…”

Section: Introductionmentioning

confidence: 99%

Secure Palmprint Verification Using Random Measure and Permutations

Wang¹,

Xu²,

Li³

et al. 2013

JDCTA

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Compared with the traditional verification schemes, the cancelability and re-issueability of biometric system is the inherent shortages. Therefore, problem of palmprint template security must be considered and solved in a real biometric system. To handle these problems, a hybrid palprint template protection scheme using random measure and permutations is proposed in this paper. Firstly, the Gabor is employed to convolute with preprocessed palmprint image. Then, the obtained Gabor representation is compared with a chaotic random matrix to generate cancelable palmprint template. The random measure can improve the template's discriminablity. At last, the cancelable palmprint template is scrambled to strengthen the security of the template. The publicly available HongKong PolyU Palmprint Database is employed for evaluation. The experimental results show that our proposed scheme can separate the imposter and genuine population very well, that is also to say that, the EER is zero. And the re-usability of the proposed template protection scheme is very large to brute force attack.

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“…Biometric authentication [17,27] consists of verifying individuals based on their physiognomical and behavioral traits such as face [9], fingerprints [19], palmprints [26], iris [34], tongue shape [16], etc. Biometric systems offer obvious advantages over other authentication systems.…”

Section: Introductionmentioning

confidence: 99%

A crypto-biometric scheme based on iris-templates with fuzzy extractors

Mariño¹,

Álvarez²,

Encinas³

2012

Information Sciences

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One of the most important uses of Biometrics is the identification and authentication of individuals using one or several of their physiognomical or behavioral features. Moreover, Biometrics offers a good option to assist Cryptography for confidentiality, encryption, and decryption of messages by using some biometric traits. In this paper, a crypto-biometric scheme, based on fuzzy extractors, by using iris templates, is proposed, i.e., we propose a new system in order to permit a user to retrieve a secret or a previously saved key by using her own biometric template. The properties and efficiency for selecting the most useful parameters to provide a high level of security in the scheme are thoroughly analyzed.

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Generating cancelable palmprint templates via coupled nonlinear dynamic filters and multiple orientation palmcodes

Cited by 39 publications

References 29 publications

Biometric template security: an overview

Biometric template security: an overview

Secure Palmprint Verification Using Random Measure and Permutations

A crypto-biometric scheme based on iris-templates with fuzzy extractors

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