Fusion of gait and fingerprint for user authentication on mobile devices

Mohammad Derawi; Davrondzhon Gafurov; Rasmus Larsen; Christoph Busch; Patrick Bours

doi:10.1109/IWSCN.2010.5497989

Fusion of gait and fingerprint for user authentication on mobile devices

Mohammad Derawi, Davrondzhon Gafurov, Rasmus Larsen, Christoph Busch, Patrick Bours

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

Abstract

A new multi-modal biometric authentication approach using gait signals and fingerprint images as biometric traits is proposed. The individual comparison scores derived from the gait and fingers are normalized using four methods (min-max, z-score, median absolute deviation, tangent hyperbolic) and then four fusion approaches (simple sum, user-weighting, maximum score and minimum core) are applied. Gait samples are obtained by using a dedicated accelerometer sensor attached to the hip. The proposed method is evaluated using 7200 fingerprint images and gait samples. Fingerprints are collected by a capacitive line sensor, an optical sensor with total internal reflection and a touch-less optical sensor. The fusion results of these two biometrics show an improved performance and a large step closer for user authentication on mobile devices.

Original language	English
Title of host publication	Proceedings of the 2nd International Workshop on Security and Communication Networks
Place of Publication	Karlstad
Publication date	2010
Pages	1-6
ISBN (Print)	978-1-4244-6938-3
DOIs	https://doi.org/10.1109/IWSCN.2010.5497989
Publication status	Published - 2010
Event	2nd International Workshop on Security and Communication Networks - Karlstad, Sweden Duration: 26 May 2010 → 28 May 2010 Conference number: 2 http://www.cs.kau.se/iwscn2010/

Workshop

Workshop	2nd International Workshop on Security and Communication Networks
Number	2
Country	Sweden
City	Karlstad
Period	26/05/2010 → 28/05/2010
Internet address	http://www.cs.kau.se/iwscn2010/

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title = "Fusion of gait and fingerprint for user authentication on mobile devices",

abstract = "A new multi-modal biometric authentication approach using gait signals and fingerprint images as biometric traits is proposed. The individual comparison scores derived from the gait and fingers are normalized using four methods (min-max, z-score, median absolute deviation, tangent hyperbolic) and then four fusion approaches (simple sum, user-weighting, maximum score and minimum core) are applied. Gait samples are obtained by using a dedicated accelerometer sensor attached to the hip. The proposed method is evaluated using 7200 fingerprint images and gait samples. Fingerprints are collected by a capacitive line sensor, an optical sensor with total internal reflection and a touch-less optical sensor. The fusion results of these two biometrics show an improved performance and a large step closer for user authentication on mobile devices.",

author = "Mohammad Derawi and Davrondzhon Gafurov and Rasmus Larsen and Christoph Busch and Patrick Bours",

year = "2010",

doi = "10.1109/IWSCN.2010.5497989",

language = "English",

isbn = "978-1-4244-6938-3",

pages = "1--6",

booktitle = "Proceedings of the 2nd International Workshop on Security and Communication Networks",

note = "2nd International Workshop on Security and Communication Networks, IWSCN 2010 ; Conference date: 26-05-2010 Through 28-05-2010",

url = "http://www.cs.kau.se/iwscn2010/",

}

Derawi, M, Gafurov, D, Larsen, R, Busch, C & Bours, P 2010, Fusion of gait and fingerprint for user authentication on mobile devices. in Proceedings of the 2nd International Workshop on Security and Communication Networks. Karlstad, pp. 1-6, 2nd International Workshop on Security and Communication Networks, Karlstad, Sweden, 26/05/2010. https://doi.org/10.1109/IWSCN.2010.5497989

Fusion of gait and fingerprint for user authentication on mobile devices. / Derawi, Mohammad; Gafurov, Davrondzhon; Larsen, Rasmus; Busch, Christoph; Bours, Patrick.

Proceedings of the 2nd International Workshop on Security and Communication Networks. Karlstad, 2010. p. 1-6.

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

TY - GEN

T1 - Fusion of gait and fingerprint for user authentication on mobile devices

AU - Derawi, Mohammad

AU - Gafurov, Davrondzhon

AU - Larsen, Rasmus

AU - Busch, Christoph

AU - Bours, Patrick

N1 - Conference code: 2

PY - 2010

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N2 - A new multi-modal biometric authentication approach using gait signals and fingerprint images as biometric traits is proposed. The individual comparison scores derived from the gait and fingers are normalized using four methods (min-max, z-score, median absolute deviation, tangent hyperbolic) and then four fusion approaches (simple sum, user-weighting, maximum score and minimum core) are applied. Gait samples are obtained by using a dedicated accelerometer sensor attached to the hip. The proposed method is evaluated using 7200 fingerprint images and gait samples. Fingerprints are collected by a capacitive line sensor, an optical sensor with total internal reflection and a touch-less optical sensor. The fusion results of these two biometrics show an improved performance and a large step closer for user authentication on mobile devices.

AB - A new multi-modal biometric authentication approach using gait signals and fingerprint images as biometric traits is proposed. The individual comparison scores derived from the gait and fingers are normalized using four methods (min-max, z-score, median absolute deviation, tangent hyperbolic) and then four fusion approaches (simple sum, user-weighting, maximum score and minimum core) are applied. Gait samples are obtained by using a dedicated accelerometer sensor attached to the hip. The proposed method is evaluated using 7200 fingerprint images and gait samples. Fingerprints are collected by a capacitive line sensor, an optical sensor with total internal reflection and a touch-less optical sensor. The fusion results of these two biometrics show an improved performance and a large step closer for user authentication on mobile devices.

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DO - 10.1109/IWSCN.2010.5497989

M3 - Article in proceedings

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EP - 6

BT - Proceedings of the 2nd International Workshop on Security and Communication Networks

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