Multispectral Palm-vein Fusion for User Identification

Jaekwon Lee; Jooyoung Kim; Donghyun Kim; Seung Ah Lee; Jong Hwan Sung; Kar Ann Toh

doi:10.1109/ICEIC57457.2023.10049882

Multispectral Palm-vein Fusion for User Identification

Jaekwon Lee, Jooyoung Kim, Donghyun Kim, Seung Ah Lee, Jong Hwan Sung, Kar Ann Toh

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

1 Citation (Scopus)

Abstract

In this paper, we propose a system for user identification based on palm-veins extracted from multi-spectral images of the palm. Essentially, a feature level fusion is firstly conducted by stacking the preprocessed palm images from multiple image spectrums to increase the richness of information. Subsequently, a convolution neural network (CNN), which utilizes the residual learning with a linear bottleneck scheme, is adopted to learn the stacked features. The proposed system has been evaluated on a public multispectral palm database where a promising performance in terms of the identification accuracy has been observed.

Original language	English
Title of host publication	2023 International Conference on Electronics, Information, and Communication, ICEIC 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350320213
DOIs	https://doi.org/10.1109/ICEIC57457.2023.10049882
Publication status	Published - 2023
Event	2023 International Conference on Electronics, Information, and Communication, ICEIC 2023 - Singapore, Singapore Duration: 5 Feb 2023 → 8 Feb 2023

Publication series

Name	2023 International Conference on Electronics, Information, and Communication, ICEIC 2023

Conference

Conference	2023 International Conference on Electronics, Information, and Communication, ICEIC 2023
Country/Territory	Singapore
City	Singapore
Period	5/02/23 → 8/02/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

Feature level fusion
Palm-vein recognition
Residual learning

Access to Document

10.1109/ICEIC57457.2023.10049882

Cite this

Lee, J., Kim, J., Kim, D., Ah Lee, S., Hwan Sung, J., & Toh, K. A. (2023). Multispectral Palm-vein Fusion for User Identification. In 2023 International Conference on Electronics, Information, and Communication, ICEIC 2023 (2023 International Conference on Electronics, Information, and Communication, ICEIC 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEIC57457.2023.10049882

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title = "Multispectral Palm-vein Fusion for User Identification",

abstract = "In this paper, we propose a system for user identification based on palm-veins extracted from multi-spectral images of the palm. Essentially, a feature level fusion is firstly conducted by stacking the preprocessed palm images from multiple image spectrums to increase the richness of information. Subsequently, a convolution neural network (CNN), which utilizes the residual learning with a linear bottleneck scheme, is adopted to learn the stacked features. The proposed system has been evaluated on a public multispectral palm database where a promising performance in terms of the identification accuracy has been observed.",

keywords = "Feature level fusion, Palm-vein recognition, Residual learning",

author = "Jaekwon Lee and Jooyoung Kim and Donghyun Kim and {Ah Lee}, Seung and {Hwan Sung}, Jong and Toh, {Kar Ann}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 International Conference on Electronics, Information, and Communication, ICEIC 2023 ; Conference date: 05-02-2023 Through 08-02-2023",

year = "2023",

doi = "10.1109/ICEIC57457.2023.10049882",

language = "English",

series = "2023 International Conference on Electronics, Information, and Communication, ICEIC 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2023 International Conference on Electronics, Information, and Communication, ICEIC 2023",

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}

Lee, J, Kim, J, Kim, D, Ah Lee, S, Hwan Sung, J & Toh, KA 2023, Multispectral Palm-vein Fusion for User Identification. in 2023 International Conference on Electronics, Information, and Communication, ICEIC 2023. 2023 International Conference on Electronics, Information, and Communication, ICEIC 2023, Institute of Electrical and Electronics Engineers Inc., 2023 International Conference on Electronics, Information, and Communication, ICEIC 2023, Singapore, Singapore, 5/02/23. https://doi.org/10.1109/ICEIC57457.2023.10049882

Multispectral Palm-vein Fusion for User Identification. / Lee, Jaekwon; Kim, Jooyoung; Kim, Donghyun et al.
2023 International Conference on Electronics, Information, and Communication, ICEIC 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 International Conference on Electronics, Information, and Communication, ICEIC 2023).

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

TY - GEN

T1 - Multispectral Palm-vein Fusion for User Identification

AU - Lee, Jaekwon

AU - Kim, Jooyoung

AU - Kim, Donghyun

AU - Ah Lee, Seung

AU - Hwan Sung, Jong

AU - Toh, Kar Ann

PY - 2023

Y1 - 2023

N2 - In this paper, we propose a system for user identification based on palm-veins extracted from multi-spectral images of the palm. Essentially, a feature level fusion is firstly conducted by stacking the preprocessed palm images from multiple image spectrums to increase the richness of information. Subsequently, a convolution neural network (CNN), which utilizes the residual learning with a linear bottleneck scheme, is adopted to learn the stacked features. The proposed system has been evaluated on a public multispectral palm database where a promising performance in terms of the identification accuracy has been observed.

AB - In this paper, we propose a system for user identification based on palm-veins extracted from multi-spectral images of the palm. Essentially, a feature level fusion is firstly conducted by stacking the preprocessed palm images from multiple image spectrums to increase the richness of information. Subsequently, a convolution neural network (CNN), which utilizes the residual learning with a linear bottleneck scheme, is adopted to learn the stacked features. The proposed system has been evaluated on a public multispectral palm database where a promising performance in terms of the identification accuracy has been observed.

KW - Feature level fusion

KW - Palm-vein recognition

KW - Residual learning

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U2 - 10.1109/ICEIC57457.2023.10049882

DO - 10.1109/ICEIC57457.2023.10049882

M3 - Conference contribution

AN - SCOPUS:85150430005

T3 - 2023 International Conference on Electronics, Information, and Communication, ICEIC 2023

BT - 2023 International Conference on Electronics, Information, and Communication, ICEIC 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 International Conference on Electronics, Information, and Communication, ICEIC 2023

Y2 - 5 February 2023 through 8 February 2023

ER -

Lee J, Kim J, Kim D, Ah Lee S, Hwan Sung J, Toh KA. Multispectral Palm-vein Fusion for User Identification. In 2023 International Conference on Electronics, Information, and Communication, ICEIC 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (2023 International Conference on Electronics, Information, and Communication, ICEIC 2023). doi: 10.1109/ICEIC57457.2023.10049882

Multispectral Palm-vein Fusion for User Identification

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