Identification: Biometrics, or a real-time ‘who is who’

Peter Lehr

doi:10.1007/978-3-319-90924-0_5

Identification: Biometrics, or a real-time ‘who is who’

Peter Lehr^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

In this first chapter of the book’s second part, I argue that the best way to deal with terrorism is to nip a planned terrorist attack in the bud. One way to do so is by discerning innocent citizens who have a right to be at certain locations from those who have not, and whose intentions are dubious, via a swift and reliable but non-intrusive identification and verification process. I introduce the main biometrics that are used in this regard, first discussing physical biometrics such as facial recognition, iris scans, voice scans or fingerprints, to then move on to behavioural ones such as one’s gait. Since most of them are not (yet) fool proof, especially not as stand-alone technologies, I make the case for multimodal-based biometric systems which currently are under development.

Original language	English
Title of host publication	Advanced Sciences and Technologies for Security Applications
Publisher	Springer
Pages	67-80
Number of pages	14
DOIs	https://doi.org/10.1007/978-3-319-90924-0_5
Publication status	Published - 2019

Publication series

Name	Advanced Sciences and Technologies for Security Applications
ISSN (Print)	1613-5113
ISSN (Electronic)	2363-9466

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

Keywords

Biometric passports
Biometrics
DNA recognition
Facialr recognition
False positives
Fingerprints
Gait recognition
Hand geometry
Iris scans
Multimodal systems
Palm prints
Voice recognition

Access to Document

10.1007/978-3-319-90924-0_5

Handle.net

Persistent link

Cite this

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title = "Identification: Biometrics, or a real-time {\textquoteleft}who is who{\textquoteright}",

abstract = "In this first chapter of the book{\textquoteright}s second part, I argue that the best way to deal with terrorism is to nip a planned terrorist attack in the bud. One way to do so is by discerning innocent citizens who have a right to be at certain locations from those who have not, and whose intentions are dubious, via a swift and reliable but non-intrusive identification and verification process. I introduce the main biometrics that are used in this regard, first discussing physical biometrics such as facial recognition, iris scans, voice scans or fingerprints, to then move on to behavioural ones such as one{\textquoteright}s gait. Since most of them are not (yet) fool proof, especially not as stand-alone technologies, I make the case for multimodal-based biometric systems which currently are under development.",

keywords = "Biometric passports, Biometrics, DNA recognition, Facialr recognition, False positives, Fingerprints, Gait recognition, Hand geometry, Iris scans, Multimodal systems, Palm prints, Voice recognition",

author = "Peter Lehr",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG, part of Springer Nature 2019.",

year = "2019",

doi = "10.1007/978-3-319-90924-0\_5",

language = "English",

series = "Advanced Sciences and Technologies for Security Applications",

publisher = "Springer",

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T1 - Identification

T2 - Biometrics, or a real-time ‘who is who’

AU - Lehr, Peter

N1 - Publisher Copyright: © Springer International Publishing AG, part of Springer Nature 2019.

PY - 2019

Y1 - 2019

N2 - In this first chapter of the book’s second part, I argue that the best way to deal with terrorism is to nip a planned terrorist attack in the bud. One way to do so is by discerning innocent citizens who have a right to be at certain locations from those who have not, and whose intentions are dubious, via a swift and reliable but non-intrusive identification and verification process. I introduce the main biometrics that are used in this regard, first discussing physical biometrics such as facial recognition, iris scans, voice scans or fingerprints, to then move on to behavioural ones such as one’s gait. Since most of them are not (yet) fool proof, especially not as stand-alone technologies, I make the case for multimodal-based biometric systems which currently are under development.

AB - In this first chapter of the book’s second part, I argue that the best way to deal with terrorism is to nip a planned terrorist attack in the bud. One way to do so is by discerning innocent citizens who have a right to be at certain locations from those who have not, and whose intentions are dubious, via a swift and reliable but non-intrusive identification and verification process. I introduce the main biometrics that are used in this regard, first discussing physical biometrics such as facial recognition, iris scans, voice scans or fingerprints, to then move on to behavioural ones such as one’s gait. Since most of them are not (yet) fool proof, especially not as stand-alone technologies, I make the case for multimodal-based biometric systems which currently are under development.

KW - Biometric passports

KW - Biometrics

KW - DNA recognition

KW - Facialr recognition

KW - False positives

KW - Fingerprints

KW - Gait recognition

KW - Hand geometry

KW - Iris scans

KW - Multimodal systems

KW - Palm prints

KW - Voice recognition

UR - https://www.scopus.com/pages/publications/85075826061

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DO - 10.1007/978-3-319-90924-0_5

M3 - Chapter

AN - SCOPUS:85075826061

T3 - Advanced Sciences and Technologies for Security Applications

SP - 67

EP - 80

BT - Advanced Sciences and Technologies for Security Applications

PB - Springer

ER -

Identification: Biometrics, or a real-time ‘who is who’

Abstract

Publication series

UN SDGs

Keywords

Access to Document

Handle.net

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Fingerprint

Cite this