A review of finger-vein biometric recognition

Ala Abdulhakim Alariki; Muqadas Faiz; Sanaullah Balagh; Christine Murray

A review of finger-vein biometric recognition

Ala Abdulhakim Alariki, Muqadas Faiz, Sanaullah Balagh, Christine Murray

American University of Afghanistan

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

1 Citation (Scopus)

Abstract

the widespread success of various biometric recognition systems has contributed to extensive exploration of new biometric modalities, expanding upon traditional fingerprint metrics. Finger-vein is one of the latest biometric traits that has attracted researchers because it promises to be an effective and reliable modality for implementation in biometric authentication systems. In this paper, a review of the current literature on finger-vein biometric authentication is given with the objective of finding out what features, classifiers, and methodologies are utilized by researchers in implemented systems. We find that vein pattern is the most widely used feature for finger-vein recognition. Also, in terms of usage, the hamming distance and Euclidean distance dominate as preferences over other finger-vein classifiers. Furthermore, in previous research in the finger vein authentication systems, there is a lack of comprehensive extraction and combined testing of all finger vein features. Based on this, we will develop the new finger vein authentication systems.

Original language	English
Title of host publication	Proceedings of the World Congress on Engineering and Computer Science 2018, WCECS 2018
Editors	S.I. Ao, Craig Douglas, W.S. Grundfest
Publisher	Newswood Limited
Pages	90-94
Number of pages	5
ISBN (Electronic)	9789881404909
Publication status	Published - 2018
Externally published	Yes
Event	2018 World Congress on Engineering and Computer Science, WCECS 2018 - San Francisco, United States Duration: 23 Oct 2018 → 25 Oct 2018

Publication series

Name	Lecture Notes in Engineering and Computer Science
Volume	2238
ISSN (Print)	2078-0958

Conference

Conference	2018 World Congress on Engineering and Computer Science, WCECS 2018
Country/Territory	United States
City	San Francisco
Period	23/10/18 → 25/10/18

Bibliographical note

Publisher Copyright:
© 2018 Newswood Limited. All rights reserved.

Keywords

Authenticating
Biometrics
Classification
Features extraction
Finger-vein

Cite this

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title = "A review of finger-vein biometric recognition",

abstract = "the widespread success of various biometric recognition systems has contributed to extensive exploration of new biometric modalities, expanding upon traditional fingerprint metrics. Finger-vein is one of the latest biometric traits that has attracted researchers because it promises to be an effective and reliable modality for implementation in biometric authentication systems. In this paper, a review of the current literature on finger-vein biometric authentication is given with the objective of finding out what features, classifiers, and methodologies are utilized by researchers in implemented systems. We find that vein pattern is the most widely used feature for finger-vein recognition. Also, in terms of usage, the hamming distance and Euclidean distance dominate as preferences over other finger-vein classifiers. Furthermore, in previous research in the finger vein authentication systems, there is a lack of comprehensive extraction and combined testing of all finger vein features. Based on this, we will develop the new finger vein authentication systems.",

keywords = "Authenticating, Biometrics, Classification, Features extraction, Finger-vein",

author = "Alariki, {Ala Abdulhakim} and Muqadas Faiz and Sanaullah Balagh and Christine Murray",

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year = "2018",

language = "English",

series = "Lecture Notes in Engineering and Computer Science",

publisher = "Newswood Limited",

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editor = "S.I. Ao and Craig Douglas and W.S. Grundfest",

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}

Alariki, AA, Faiz, M, Balagh, S & Murray, C 2018, A review of finger-vein biometric recognition. in SI Ao, C Douglas & WS Grundfest (eds), Proceedings of the World Congress on Engineering and Computer Science 2018, WCECS 2018. Lecture Notes in Engineering and Computer Science, vol. 2238, Newswood Limited, pp. 90-94, 2018 World Congress on Engineering and Computer Science, WCECS 2018, San Francisco, United States, 23/10/18.

A review of finger-vein biometric recognition. / Alariki, Ala Abdulhakim; Faiz, Muqadas; Balagh, Sanaullah et al.
Proceedings of the World Congress on Engineering and Computer Science 2018, WCECS 2018. ed. / S.I. Ao; Craig Douglas; W.S. Grundfest. Newswood Limited, 2018. p. 90-94 (Lecture Notes in Engineering and Computer Science; Vol. 2238).

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

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AU - Alariki, Ala Abdulhakim

AU - Faiz, Muqadas

AU - Balagh, Sanaullah

AU - Murray, Christine

PY - 2018

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N2 - the widespread success of various biometric recognition systems has contributed to extensive exploration of new biometric modalities, expanding upon traditional fingerprint metrics. Finger-vein is one of the latest biometric traits that has attracted researchers because it promises to be an effective and reliable modality for implementation in biometric authentication systems. In this paper, a review of the current literature on finger-vein biometric authentication is given with the objective of finding out what features, classifiers, and methodologies are utilized by researchers in implemented systems. We find that vein pattern is the most widely used feature for finger-vein recognition. Also, in terms of usage, the hamming distance and Euclidean distance dominate as preferences over other finger-vein classifiers. Furthermore, in previous research in the finger vein authentication systems, there is a lack of comprehensive extraction and combined testing of all finger vein features. Based on this, we will develop the new finger vein authentication systems.

AB - the widespread success of various biometric recognition systems has contributed to extensive exploration of new biometric modalities, expanding upon traditional fingerprint metrics. Finger-vein is one of the latest biometric traits that has attracted researchers because it promises to be an effective and reliable modality for implementation in biometric authentication systems. In this paper, a review of the current literature on finger-vein biometric authentication is given with the objective of finding out what features, classifiers, and methodologies are utilized by researchers in implemented systems. We find that vein pattern is the most widely used feature for finger-vein recognition. Also, in terms of usage, the hamming distance and Euclidean distance dominate as preferences over other finger-vein classifiers. Furthermore, in previous research in the finger vein authentication systems, there is a lack of comprehensive extraction and combined testing of all finger vein features. Based on this, we will develop the new finger vein authentication systems.

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KW - Biometrics

KW - Classification

KW - Features extraction

KW - Finger-vein

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ER -

A review of finger-vein biometric recognition

Abstract

Publication series

Conference

Bibliographical note

Keywords

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Cite this