Fuzzy key extraction from fingerprint biometrics based on dynamic quantization mechanism

Thian Song Ong; Andrew Beng Jin Teoh

doi:10.1109/IAS.2007.61

Fuzzy key extraction from fingerprint biometrics based on dynamic quantization mechanism

Thian Song Ong, Andrew Beng Jin Teoh

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

Abstract

Traditional biometrics recognition system is vulnerable to privacy invasion when the stored biometric template is compromised. This in turn will suffer from permanently loss as biometric template is not replaceable In this paper, we propose a key extraction scheme which locks a secure transformed fingerprint bitstring via a novel dynamic quantization mechanism. During authentication stage, the key is extracted from the secure mixture when a genuine fingerprint is presented. A number of keys can be assigned to different applications and could be revoked if the key was compromised. The proposed method retrieve key reliably from a genuine fingerprint up to 99.5% success rate. We perform several security and experimental analyses and the results suggest that the scheme is feasible in practice.

Original language	English
Title of host publication	Proceedings - IAS 2007 3rd Internationl Symposium on Information Assurance and Security
Pages	71-76
Number of pages	6
DOIs	https://doi.org/10.1109/IAS.2007.61
Publication status	Published - 2007
Event	3rd Internationl Symposium on Information Assurance and Security, IAS 2007 - Manchester, United Kingdom Duration: 2007 Aug 20 → 2007 Aug 31

Publication series

Name	Proceedings - IAS 2007 3rd Internationl Symposium on Information Assurance and Security

Other

Other	3rd Internationl Symposium on Information Assurance and Security, IAS 2007
Country/Territory	United Kingdom
City	Manchester
Period	07/8/20 → 07/8/31

All Science Journal Classification (ASJC) codes

Information Systems
Information Systems and Management

Access to Document

10.1109/IAS.2007.61

Cite this

Ong, T. S., & Teoh, A. B. J. (2007). Fuzzy key extraction from fingerprint biometrics based on dynamic quantization mechanism. In Proceedings - IAS 2007 3rd Internationl Symposium on Information Assurance and Security (pp. 71-76). Article 4299753 (Proceedings - IAS 2007 3rd Internationl Symposium on Information Assurance and Security). https://doi.org/10.1109/IAS.2007.61

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title = "Fuzzy key extraction from fingerprint biometrics based on dynamic quantization mechanism",

abstract = "Traditional biometrics recognition system is vulnerable to privacy invasion when the stored biometric template is compromised. This in turn will suffer from permanently loss as biometric template is not replaceable In this paper, we propose a key extraction scheme which locks a secure transformed fingerprint bitstring via a novel dynamic quantization mechanism. During authentication stage, the key is extracted from the secure mixture when a genuine fingerprint is presented. A number of keys can be assigned to different applications and could be revoked if the key was compromised. The proposed method retrieve key reliably from a genuine fingerprint up to 99.5% success rate. We perform several security and experimental analyses and the results suggest that the scheme is feasible in practice.",

author = "Ong, {Thian Song} and Teoh, {Andrew Beng Jin}",

year = "2007",

doi = "10.1109/IAS.2007.61",

language = "English",

isbn = "0769528767",

series = "Proceedings - IAS 2007 3rd Internationl Symposium on Information Assurance and Security",

pages = "71--76",

booktitle = "Proceedings - IAS 2007 3rd Internationl Symposium on Information Assurance and Security",

note = "3rd Internationl Symposium on Information Assurance and Security, IAS 2007 ; Conference date: 20-08-2007 Through 31-08-2007",

}

Ong, TS & Teoh, ABJ 2007, Fuzzy key extraction from fingerprint biometrics based on dynamic quantization mechanism. in Proceedings - IAS 2007 3rd Internationl Symposium on Information Assurance and Security., 4299753, Proceedings - IAS 2007 3rd Internationl Symposium on Information Assurance and Security, pp. 71-76, 3rd Internationl Symposium on Information Assurance and Security, IAS 2007, Manchester, United Kingdom, 07/8/20. https://doi.org/10.1109/IAS.2007.61

Fuzzy key extraction from fingerprint biometrics based on dynamic quantization mechanism. / Ong, Thian Song; Teoh, Andrew Beng Jin.
Proceedings - IAS 2007 3rd Internationl Symposium on Information Assurance and Security. 2007. p. 71-76 4299753 (Proceedings - IAS 2007 3rd Internationl Symposium on Information Assurance and Security).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Fuzzy key extraction from fingerprint biometrics based on dynamic quantization mechanism

AU - Ong, Thian Song

AU - Teoh, Andrew Beng Jin

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N2 - Traditional biometrics recognition system is vulnerable to privacy invasion when the stored biometric template is compromised. This in turn will suffer from permanently loss as biometric template is not replaceable In this paper, we propose a key extraction scheme which locks a secure transformed fingerprint bitstring via a novel dynamic quantization mechanism. During authentication stage, the key is extracted from the secure mixture when a genuine fingerprint is presented. A number of keys can be assigned to different applications and could be revoked if the key was compromised. The proposed method retrieve key reliably from a genuine fingerprint up to 99.5% success rate. We perform several security and experimental analyses and the results suggest that the scheme is feasible in practice.

AB - Traditional biometrics recognition system is vulnerable to privacy invasion when the stored biometric template is compromised. This in turn will suffer from permanently loss as biometric template is not replaceable In this paper, we propose a key extraction scheme which locks a secure transformed fingerprint bitstring via a novel dynamic quantization mechanism. During authentication stage, the key is extracted from the secure mixture when a genuine fingerprint is presented. A number of keys can be assigned to different applications and could be revoked if the key was compromised. The proposed method retrieve key reliably from a genuine fingerprint up to 99.5% success rate. We perform several security and experimental analyses and the results suggest that the scheme is feasible in practice.

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M3 - Conference contribution

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T3 - Proceedings - IAS 2007 3rd Internationl Symposium on Information Assurance and Security

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BT - Proceedings - IAS 2007 3rd Internationl Symposium on Information Assurance and Security

T2 - 3rd Internationl Symposium on Information Assurance and Security, IAS 2007

Y2 - 20 August 2007 through 31 August 2007

ER -

Fuzzy key extraction from fingerprint biometrics based on dynamic quantization mechanism

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All Science Journal Classification (ASJC) codes

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