Fuzzy face vault: How to implement fuzzy vault with weighted features

Dae Hun Nyang; Kyung Hee Lee

doi:10.1007/978-3-540-73279-2_55

Fuzzy face vault: How to implement fuzzy vault with weighted features

Dae Hun Nyang, Kyung Hee Lee

Department of Cyber Security

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

7 Scopus citations

Abstract

Ari Juel et al from ISIT 2002 presented a fuzzy vault scheme, which is a framework to encrypt a cryptographic key with a fuzzy key [5]. Following their framework, many trials to implement mainly a fuzzy finger vault have been proposed that enables us to keep secretly a key with our finger print. Our work is to focus on instantiating the fuzzy information of the fuzzy vault scheme with human faces instead of fingers. Most of face authentication algorithms are dependent upon weighted features, which are incompatible with the original fuzzy vault scheme. To reflect the level of importance of individual features from feature set, we introduce another layer between captured feature set and points in the polynomial to be interpolated.

Original language	English
Title of host publication	Universal Access in Human-Computer Interaction
Subtitle of host publication	Coping with Diversity - 4th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2007. Held as Part of HCI Int. 2007 Proc.
Publisher	Springer Verlag
Pages	491-496
Number of pages	6
Edition	PART 1
ISBN (Print)	9783540732785
DOIs	https://doi.org/10.1007/978-3-540-73279-2_55
State	Published - 2007
Event	4th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2007 - Beijing, China Duration: 22 Jul 2007 → 27 Jul 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	4554 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	4th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2007
Country/Territory	China
City	Beijing
Period	22/07/07 → 27/07/07

Access to Document

10.1007/978-3-540-73279-2_55

Cite this

Nyang, D. H., & Lee, K. H. (2007). Fuzzy face vault: How to implement fuzzy vault with weighted features. In Universal Access in Human-Computer Interaction: Coping with Diversity - 4th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2007. Held as Part of HCI Int. 2007 Proc. (PART 1 ed., pp. 491-496). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4554 LNCS, No. PART 1). Springer Verlag. https://doi.org/10.1007/978-3-540-73279-2_55

Nyang, Dae Hun ; Lee, Kyung Hee. / Fuzzy face vault : How to implement fuzzy vault with weighted features. Universal Access in Human-Computer Interaction: Coping with Diversity - 4th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2007. Held as Part of HCI Int. 2007 Proc.. PART 1. ed. Springer Verlag, 2007. pp. 491-496 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

@inproceedings{d2e93446111744d1b1ac91512614f08f,

title = "Fuzzy face vault: How to implement fuzzy vault with weighted features",

abstract = "Ari Juel et al from ISIT 2002 presented a fuzzy vault scheme, which is a framework to encrypt a cryptographic key with a fuzzy key [5]. Following their framework, many trials to implement mainly a fuzzy finger vault have been proposed that enables us to keep secretly a key with our finger print. Our work is to focus on instantiating the fuzzy information of the fuzzy vault scheme with human faces instead of fingers. Most of face authentication algorithms are dependent upon weighted features, which are incompatible with the original fuzzy vault scheme. To reflect the level of importance of individual features from feature set, we introduce another layer between captured feature set and points in the polynomial to be interpolated.",

author = "Nyang, {Dae Hun} and Lee, {Kyung Hee}",

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publisher = "Springer Verlag",

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pages = "491--496",

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note = "4th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2007 ; Conference date: 22-07-2007 Through 27-07-2007",

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Nyang, DH & Lee, KH 2007, Fuzzy face vault: How to implement fuzzy vault with weighted features. in Universal Access in Human-Computer Interaction: Coping with Diversity - 4th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2007. Held as Part of HCI Int. 2007 Proc.. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 4554 LNCS, Springer Verlag, pp. 491-496, 4th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2007, Beijing, China, 22/07/07. https://doi.org/10.1007/978-3-540-73279-2_55

Fuzzy face vault: How to implement fuzzy vault with weighted features. / Nyang, Dae Hun; Lee, Kyung Hee.
Universal Access in Human-Computer Interaction: Coping with Diversity - 4th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2007. Held as Part of HCI Int. 2007 Proc.. PART 1. ed. Springer Verlag, 2007. p. 491-496 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4554 LNCS, No. PART 1).

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

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AB - Ari Juel et al from ISIT 2002 presented a fuzzy vault scheme, which is a framework to encrypt a cryptographic key with a fuzzy key [5]. Following their framework, many trials to implement mainly a fuzzy finger vault have been proposed that enables us to keep secretly a key with our finger print. Our work is to focus on instantiating the fuzzy information of the fuzzy vault scheme with human faces instead of fingers. Most of face authentication algorithms are dependent upon weighted features, which are incompatible with the original fuzzy vault scheme. To reflect the level of importance of individual features from feature set, we introduce another layer between captured feature set and points in the polynomial to be interpolated.

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Nyang DH, Lee KH. Fuzzy face vault: How to implement fuzzy vault with weighted features. In Universal Access in Human-Computer Interaction: Coping with Diversity - 4th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2007. Held as Part of HCI Int. 2007 Proc.. PART 1 ed. Springer Verlag. 2007. p. 491-496. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-540-73279-2_55

Fuzzy face vault: How to implement fuzzy vault with weighted features

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