Finger-vein Pattern Recognition Based on ICP on Contours

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

13 Downloads (Pure)

Abstract

An important step in finger-vein recognition is a proper alignment of the finger vein patterns to be compared. This alignment method is used to handle finger pose variation and to enhance the stability of the finger vein authentication. We proposed the iterative closest point (ICP) method on finger contour for the alignment. After the aligning process, we applied maximum curvature as a vein feature for the comparison without further optimization of the parameters, and we gained a better genuine comparison score. Even though this method is robust to finger pose variations, we have to further verify whether it will impact recognition performance. The experimental results show that the accuracy of the proposed method in verification case is enhanced and increases slightly than the state-of-the-art registration method which is called center line registration. Using ICP for registration resulted in a reduction of the EER to 0.3% (from 0.7% for the centerline registration) and a reduction of the FNMR@FMR0.01 to 0.7% (from 2.0% for the centerline registration).
Original languageEnglish
Title of host publication2019 Symposium on Information Theory and Signal Processing in the Benelux
EditorsGilles Callebaut, Kevin Verniers, Bert Cox
Place of PublicationLeuven
PublisherK.U. Leuven
Pages97-101
Number of pages5
ISBN (Print)9789491857034
Publication statusPublished - 28 May 2019
Event40th WIC Symposium on Information Theory in the Benelux 2019 - Ghent Technology Campus, Leuven, Belgium
Duration: 28 May 201929 May 2019
Conference number: 40

Conference

Conference40th WIC Symposium on Information Theory in the Benelux 2019
CountryBelgium
CityLeuven
Period28/05/1929/05/19

Fingerprint

Pattern recognition
Authentication

Cite this

Normakristagaluh, P., Spreeuwers, L., & Veldhuis, R. N. J. (2019). Finger-vein Pattern Recognition Based on ICP on Contours. In G. Callebaut, K. Verniers, & B. Cox (Eds.), 2019 Symposium on Information Theory and Signal Processing in the Benelux (pp. 97-101). Leuven: K.U. Leuven.
Normakristagaluh, P. ; Spreeuwers, L. ; Veldhuis, R.N.J. / Finger-vein Pattern Recognition Based on ICP on Contours. 2019 Symposium on Information Theory and Signal Processing in the Benelux. editor / Gilles Callebaut ; Kevin Verniers ; Bert Cox. Leuven : K.U. Leuven, 2019. pp. 97-101
@inproceedings{ab78f966a99d4c9e87d0bd5cf73fdb08,
title = "Finger-vein Pattern Recognition Based on ICP on Contours",
abstract = "An important step in finger-vein recognition is a proper alignment of the finger vein patterns to be compared. This alignment method is used to handle finger pose variation and to enhance the stability of the finger vein authentication. We proposed the iterative closest point (ICP) method on finger contour for the alignment. After the aligning process, we applied maximum curvature as a vein feature for the comparison without further optimization of the parameters, and we gained a better genuine comparison score. Even though this method is robust to finger pose variations, we have to further verify whether it will impact recognition performance. The experimental results show that the accuracy of the proposed method in verification case is enhanced and increases slightly than the state-of-the-art registration method which is called center line registration. Using ICP for registration resulted in a reduction of the EER to 0.3{\%} (from 0.7{\%} for the centerline registration) and a reduction of the FNMR@FMR0.01 to 0.7{\%} (from 2.0{\%} for the centerline registration).",
author = "P. Normakristagaluh and L. Spreeuwers and R.N.J. Veldhuis",
year = "2019",
month = "5",
day = "28",
language = "English",
isbn = "9789491857034",
pages = "97--101",
editor = "Gilles Callebaut and Kevin Verniers and Bert Cox",
booktitle = "2019 Symposium on Information Theory and Signal Processing in the Benelux",
publisher = "K.U. Leuven",

}

Normakristagaluh, P, Spreeuwers, L & Veldhuis, RNJ 2019, Finger-vein Pattern Recognition Based on ICP on Contours. in G Callebaut, K Verniers & B Cox (eds), 2019 Symposium on Information Theory and Signal Processing in the Benelux. K.U. Leuven, Leuven, pp. 97-101, 40th WIC Symposium on Information Theory in the Benelux 2019, Leuven, Belgium, 28/05/19.

Finger-vein Pattern Recognition Based on ICP on Contours. / Normakristagaluh, P.; Spreeuwers, L.; Veldhuis, R.N.J.

2019 Symposium on Information Theory and Signal Processing in the Benelux. ed. / Gilles Callebaut; Kevin Verniers; Bert Cox. Leuven : K.U. Leuven, 2019. p. 97-101.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

TY - GEN

T1 - Finger-vein Pattern Recognition Based on ICP on Contours

AU - Normakristagaluh, P.

AU - Spreeuwers, L.

AU - Veldhuis, R.N.J.

PY - 2019/5/28

Y1 - 2019/5/28

N2 - An important step in finger-vein recognition is a proper alignment of the finger vein patterns to be compared. This alignment method is used to handle finger pose variation and to enhance the stability of the finger vein authentication. We proposed the iterative closest point (ICP) method on finger contour for the alignment. After the aligning process, we applied maximum curvature as a vein feature for the comparison without further optimization of the parameters, and we gained a better genuine comparison score. Even though this method is robust to finger pose variations, we have to further verify whether it will impact recognition performance. The experimental results show that the accuracy of the proposed method in verification case is enhanced and increases slightly than the state-of-the-art registration method which is called center line registration. Using ICP for registration resulted in a reduction of the EER to 0.3% (from 0.7% for the centerline registration) and a reduction of the FNMR@FMR0.01 to 0.7% (from 2.0% for the centerline registration).

AB - An important step in finger-vein recognition is a proper alignment of the finger vein patterns to be compared. This alignment method is used to handle finger pose variation and to enhance the stability of the finger vein authentication. We proposed the iterative closest point (ICP) method on finger contour for the alignment. After the aligning process, we applied maximum curvature as a vein feature for the comparison without further optimization of the parameters, and we gained a better genuine comparison score. Even though this method is robust to finger pose variations, we have to further verify whether it will impact recognition performance. The experimental results show that the accuracy of the proposed method in verification case is enhanced and increases slightly than the state-of-the-art registration method which is called center line registration. Using ICP for registration resulted in a reduction of the EER to 0.3% (from 0.7% for the centerline registration) and a reduction of the FNMR@FMR0.01 to 0.7% (from 2.0% for the centerline registration).

M3 - Conference contribution

SN - 9789491857034

SP - 97

EP - 101

BT - 2019 Symposium on Information Theory and Signal Processing in the Benelux

A2 - Callebaut, Gilles

A2 - Verniers, Kevin

A2 - Cox, Bert

PB - K.U. Leuven

CY - Leuven

ER -

Normakristagaluh P, Spreeuwers L, Veldhuis RNJ. Finger-vein Pattern Recognition Based on ICP on Contours. In Callebaut G, Verniers K, Cox B, editors, 2019 Symposium on Information Theory and Signal Processing in the Benelux. Leuven: K.U. Leuven. 2019. p. 97-101