Palm Vein Recognition Using Scale Invariant Feature Transform with RANSAC Mismatching Removal - final sub.pdf (378.26 kB)

Palm vein recognition using scale invariant feature transform with RANSAC mismatching removal

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conference contribution
posted on 20.10.2017 by Shi C. Soh, M.Z. Ibrahim, Marlina B. Yakno, David Mulvaney
Palm vein recognition has been gaining increasing interest as a biometric method, although there still remains an issue regarding difficulties in obtaining robust signals. In this paper, the effects of random sample consensus point mismatching removal and the use of different wavelengths of illumination on the recognition rate are investigated. The CASIA multi-spectral palm print image database was used to provide input signals and the scale invariant feature transform (SIFT) and random sample consensus (RANSAC) mismatching removal approaches were adopted for vein extraction and point feature matching. The results show that the RANSAC mismatching point removal was able to eliminate outliers while preserving the appropriate SIFT key points and that this led to an improvement in the equal error rate metric, signifying better recognition performance. The palm vein recognition system was found to achieve a better verification rate when infrared illumination in a specific spectral band was used to obtain the palm vein image.

Funding

This work is supported by Faculty of Electrical and Electronic Engineering, University Malaysia Pahang under research grant FRGS Grant RDU160108.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Lecture Notes in Electrical Engineering

Volume

449

Pages

202 - 209

Citation

SOH, S.C. ... et al, 2017. Palm vein recognition using scale invariant feature transform with RANSAC mismatching removal. IN: Kim K., Kim H. and Baek N. (eds). IT Convergence and Security 2017. ICITS 2017. Lecture Notes in Electrical Engineering, 449, pp. 202-209.

Publisher

© Springer

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2017

Notes

This is a pre-copyedited version of a contribution published in Kim K., Kim H. and Baek N. (eds). IT Convergence and Security 2017. ICITS 2017 published by Springer. The definitive authenticated version is available online via https://doi.org/10.1007/978-981-10-6451-7_25.

ISBN

9789811064500

ISSN

1876-1100

eISSN

1876-1119

Book series

Lecture Notes in Electrical Engineering;449

Language

en

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