&lt;title&gt;Biometric Encryption: enrollment and verification procedures&lt;/title&gt;

Soutar, Colin; Roberge, Danny; Stoianov, Alex; Gilroy, Rene; Kumar, B. V. K. Vijaya

doi:10.1117/12.304770

Cited by 81 publications

(46 citation statements)

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“…Moreover, Tuyls et al [11,12] propose a technique that assumes complete alignment of template and test biometric data in addition to assuming minimal effect of noise on the 5 securing functions. Soutar et al [13] took another approach to secure fingerprint biometrics. The algorithm operates on images by constructing special filter in Fourier space encoding key data.…”

Section: Previous Workmentioning

confidence: 99%

Symmetric hash functions for secure fingerprint biometric systems

Tulyakov

Farooq

Mansukhani

et al. 2007

Pattern Recognition Letters

102

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Securing biometrics databases from being compromised is one of the most important challenges that must be overcome in order to demonstrate the viability of biometrics based authentication. In this paper we present a novel method of hashing fingerprint minutia and performing fingerprint identification in the hash space. Our approach uses a family of symmetric hash functions and does not depend on the location of the (usually unstable) singular points (core and delta). In fact, most approaches of hashing minutia and developing a cancellable system described in the literature assume the location of the singular points. Others assume a pre-alignment between the test and the stored fingerprint templates. These assumptions are unrealistic given that fingerprints are very often only partially captured by the commercially available sensors. The Equal Error Rate (EER) achieved by our system is about 3%. We also present the performance analysis of a hybrid system that has an EER of about 2% which is very close to the performance of plain matching in the minutia space.

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Section: Previous Workmentioning

confidence: 99%

Symmetric hash functions for secure fingerprint biometric systems

Tulyakov

Farooq

Mansukhani

et al. 2007

Pattern Recognition Letters

102

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“…A biometric is a science and it defined as a unique, measurable, biological characteristic or trait for automatically recognizing or verifying the identity of a human being [1]. A number of biometric characteristics are being used in various applications as Universality, Uniqueness, Permanence, Measurability, Performance, Acceptability, and Circumvention [2].…”

Section: Introductionmentioning

confidence: 99%

Dual Fingerprints Fusion for Cryptographic Key Generation

Marimuthu¹,

Kannammal²

2015

IJCA

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Secured data transfer is a critical issue through open networks due to attackers and intruders. This paper presents a new cryptographic key generation algorithm from dual fingerprint biometric template; the suggested approach has simplified the generation of cryptographic keys and reduces the complexity of traditional cryptosystem. . Fingerprints are permanent throughout person's lifespan. Keys are generated from the fingerprint template for encrypting and decrypting the content of the user. This method can be implemented in MATLAB and it generates different size cryptographic keys, with limited amount of time complexity and space complexity. This is appropriate for all real time applications that establish secured information exchange between the users. Proposed method is evaluated using publicly available FVC2002 database and achieves better result.

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“…These days, biometric technologies are typically used to analyze human characteristics for security purposes [1]. Biometrics based authentication is a potential candidate to replace password-based authentication [2].…”

Section: Introductionmentioning

confidence: 99%

A Novel Hybrid Crypto-Biometric Authentication Scheme for ATM Based Banking Applications

Han¹,

Hu²,

et al. 2005

Advances in Biometrics

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Abstract. This paper studies the smartcard based fingerprint encrytion/authentication scheme for ATM banking systems. In this scheme, the system authenticates each user by both his/her possession (smartcard) and biometrics (fingerprint). A smartcard is used for the first layer of authentication. Based on the successful pass of the first layer authentication, a subsequent process of the biometric fingerprint authentication proceeds. The proposed scheme is fast and secure. Computer simulations and statistical analyze are presented.

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<title>Biometric Encryption: enrollment and verification procedures</title>

Cited by 81 publications

References 0 publications

Symmetric hash functions for secure fingerprint biometric systems

Symmetric hash functions for secure fingerprint biometric systems

Dual Fingerprints Fusion for Cryptographic Key Generation

A Novel Hybrid Crypto-Biometric Authentication Scheme for ATM Based Banking Applications

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