Fingers Crossed: An Analysis of Cross-Device Finger Vein Recognition

Tugce Arican; Raymond Veldhuis; Luuk Spreeuwers

doi:10.1109/BIOSIG55365.2022.9897029

Fingers Crossed: An Analysis of Cross-Device Finger Vein Recognition

Tugce Arican, Raymond Veldhuis, Luuk Spreeuwers

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

3 Citations (Scopus)

113 Downloads (Pure)

Abstract

Finger veins are one of the emerging biometric traits attracting many researchers in biometric recognition. Despite the growing literature on finger vein recognition, little interest has been shown in the impact of acquisition devices on recognition performance due to the lack of a multi-sensor finger vein database. This work aims to fill this gap by creating such a database using five different acquisition devices. We then analyze their impact on finger vein recognition performance. The analysis shows two main challenges that decrease recognition performance, namely scaling between device sensors and horizontal shifts between image pairs. The findings of this research give insight into developing more robust finger vein recognition algorithms.

Original language	English
Title of host publication	2022 International Conference of the Biometrics Special Interest Group (BIOSIG)
Editors	Arslan Bromme, Naser Damer, Marta Gomez-Barrero, Kiran Raja, Christian Rathgeb, Ana F. Sequeira, Massimiliano Todisco, Andreas Uhl
Place of Publication	Piscataway, NJ
Publisher	IEEE
Number of pages	5
ISBN (Electronic)	978-1-6654-7666-9
ISBN (Print)	978-1-6654-7667-6
DOIs	https://doi.org/10.1109/BIOSIG55365.2022.9897029
Publication status	Published - 27 Sept 2022
Event	21st International Conference of the Biometrics Special Interest Group, BIOSIG 2022 - Darmstadt, Germany Duration: 14 Sept 2022 → 16 Sept 2022 Conference number: 21

Conference

Conference	21st International Conference of the Biometrics Special Interest Group, BIOSIG 2022
Abbreviated title	BIOSIG 2022
Country/Territory	Germany
City	Darmstadt
Period	14/09/22 → 16/09/22

Keywords

Cross-sensor comparison
Finger vein recognition
Vein pattern comparison
22/4 OA procedure

Access to Document

10.1109/BIOSIG55365.2022.9897029

ArticleFinal published version, 566 KBLicence: Taverne

Cite this

Arican, Tugce ; Veldhuis, Raymond ; Spreeuwers, Luuk. / Fingers Crossed : An Analysis of Cross-Device Finger Vein Recognition. 2022 International Conference of the Biometrics Special Interest Group (BIOSIG). editor / Arslan Bromme ; Naser Damer ; Marta Gomez-Barrero ; Kiran Raja ; Christian Rathgeb ; Ana F. Sequeira ; Massimiliano Todisco ; Andreas Uhl. Piscataway, NJ : IEEE, 2022.

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title = "Fingers Crossed: An Analysis of Cross-Device Finger Vein Recognition",

abstract = "Finger veins are one of the emerging biometric traits attracting many researchers in biometric recognition. Despite the growing literature on finger vein recognition, little interest has been shown in the impact of acquisition devices on recognition performance due to the lack of a multi-sensor finger vein database. This work aims to fill this gap by creating such a database using five different acquisition devices. We then analyze their impact on finger vein recognition performance. The analysis shows two main challenges that decrease recognition performance, namely scaling between device sensors and horizontal shifts between image pairs. The findings of this research give insight into developing more robust finger vein recognition algorithms.",

keywords = "Cross-sensor comparison, Finger vein recognition, Vein pattern comparison, 22/4 OA procedure",

author = "Tugce Arican and Raymond Veldhuis and Luuk Spreeuwers",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 21st International Conference of the Biometrics Special Interest Group, BIOSIG 2022, BIOSIG 2022 ; Conference date: 14-09-2022 Through 16-09-2022",

year = "2022",

month = sep,

day = "27",

doi = "10.1109/BIOSIG55365.2022.9897029",

language = "English",

isbn = "978-1-6654-7667-6",

editor = "Arslan Bromme and Naser Damer and Marta Gomez-Barrero and Kiran Raja and Christian Rathgeb and Sequeira, {Ana F.} and Massimiliano Todisco and Andreas Uhl",

booktitle = "2022 International Conference of the Biometrics Special Interest Group (BIOSIG)",

publisher = "IEEE",

address = "United States",

}

Arican, T, Veldhuis, R & Spreeuwers, L 2022, Fingers Crossed: An Analysis of Cross-Device Finger Vein Recognition. in A Bromme, N Damer, M Gomez-Barrero, K Raja, C Rathgeb, AF Sequeira, M Todisco & A Uhl (eds), 2022 International Conference of the Biometrics Special Interest Group (BIOSIG). IEEE, Piscataway, NJ, 21st International Conference of the Biometrics Special Interest Group, BIOSIG 2022, Darmstadt, Hesse, Germany, 14/09/22. https://doi.org/10.1109/BIOSIG55365.2022.9897029

Fingers Crossed: An Analysis of Cross-Device Finger Vein Recognition. / Arican, Tugce; Veldhuis, Raymond ; Spreeuwers, Luuk.
2022 International Conference of the Biometrics Special Interest Group (BIOSIG). ed. / Arslan Bromme; Naser Damer; Marta Gomez-Barrero; Kiran Raja; Christian Rathgeb; Ana F. Sequeira; Massimiliano Todisco; Andreas Uhl. Piscataway, NJ: IEEE, 2022.

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

TY - GEN

T1 - Fingers Crossed

T2 - 21st International Conference of the Biometrics Special Interest Group, BIOSIG 2022

AU - Arican, Tugce

AU - Veldhuis, Raymond

AU - Spreeuwers, Luuk

N1 - Conference code: 21

PY - 2022/9/27

Y1 - 2022/9/27

N2 - Finger veins are one of the emerging biometric traits attracting many researchers in biometric recognition. Despite the growing literature on finger vein recognition, little interest has been shown in the impact of acquisition devices on recognition performance due to the lack of a multi-sensor finger vein database. This work aims to fill this gap by creating such a database using five different acquisition devices. We then analyze their impact on finger vein recognition performance. The analysis shows two main challenges that decrease recognition performance, namely scaling between device sensors and horizontal shifts between image pairs. The findings of this research give insight into developing more robust finger vein recognition algorithms.

AB - Finger veins are one of the emerging biometric traits attracting many researchers in biometric recognition. Despite the growing literature on finger vein recognition, little interest has been shown in the impact of acquisition devices on recognition performance due to the lack of a multi-sensor finger vein database. This work aims to fill this gap by creating such a database using five different acquisition devices. We then analyze their impact on finger vein recognition performance. The analysis shows two main challenges that decrease recognition performance, namely scaling between device sensors and horizontal shifts between image pairs. The findings of this research give insight into developing more robust finger vein recognition algorithms.

KW - Cross-sensor comparison

KW - Finger vein recognition

KW - Vein pattern comparison

KW - 22/4 OA procedure

UR - http://www.scopus.com/inward/record.url?scp=85141034335&partnerID=8YFLogxK

U2 - 10.1109/BIOSIG55365.2022.9897029

DO - 10.1109/BIOSIG55365.2022.9897029

M3 - Conference contribution

AN - SCOPUS:85141034335

SN - 978-1-6654-7667-6

BT - 2022 International Conference of the Biometrics Special Interest Group (BIOSIG)

A2 - Bromme, Arslan

A2 - Damer, Naser

A2 - Gomez-Barrero, Marta

A2 - Raja, Kiran

A2 - Rathgeb, Christian

A2 - Sequeira, Ana F.

A2 - Todisco, Massimiliano

A2 - Uhl, Andreas

PB - IEEE

CY - Piscataway, NJ

Y2 - 14 September 2022 through 16 September 2022

ER -

Fingers Crossed: An Analysis of Cross-Device Finger Vein Recognition

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Keywords

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