Novel Categorisation Techniques for Liveness Detection

Peter Matthew, Mark Anderson

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Liveness detection is a rapidly expanding research area, an area that has become more relevant, due to the increased complexity and sophistication of spoofing attacks. Despite much research within liveness detection, a lack exists regarding the categorisation of liveness detection techniques. Therefore the development of a taxonomy that identifies the characteristics of liveness detection, and creates a standardized universal measure will provide a useful and applicable approach to liveness detection. This research will focus on developing the measures needed for liveness detection characteristics. To do this, specific emphasis is given to biometric security classifications, as liveness detection is a sub-system of biometric security, and it can inherit a features that are relevant. The development of these novel liveness detection categorisation techniques is of vital importance to understand the effectiveness of liveness detection.
Original languageEnglish
Pages (from-to)153-158
Number of pages6
JournalNext Generation Mobile Apps, Services and Technologies (NGMAST), 2014 Eigth International Conference.
Early online date15 Dec 2014
DOIs
Publication statusPublished - 2014
EventInternational Conference on Next Generation Mobile Applications, Services and Technologies (NGMAST) - Oxford, United Kingdom
Duration: 10 Sep 201412 Sep 2014

Fingerprint

Biometrics
Taxonomies

Keywords

  • Authentication
  • Fingerprint recognition
  • Hardware
  • Measurement
  • Robustness
  • Taxonomy
  • biometric
  • biometric authentication
  • biometric fusion
  • biometric security classification
  • biometrics (access control)
  • categorisation
  • categorisation techniques
  • liveness detection
  • pattern classification
  • security
  • security of data
  • spoofing attacks

Cite this

@article{e5af9c1260bb44d7b7119140b0506d61,
title = "Novel Categorisation Techniques for Liveness Detection",
abstract = "Liveness detection is a rapidly expanding research area, an area that has become more relevant, due to the increased complexity and sophistication of spoofing attacks. Despite much research within liveness detection, a lack exists regarding the categorisation of liveness detection techniques. Therefore the development of a taxonomy that identifies the characteristics of liveness detection, and creates a standardized universal measure will provide a useful and applicable approach to liveness detection. This research will focus on developing the measures needed for liveness detection characteristics. To do this, specific emphasis is given to biometric security classifications, as liveness detection is a sub-system of biometric security, and it can inherit a features that are relevant. The development of these novel liveness detection categorisation techniques is of vital importance to understand the effectiveness of liveness detection.",
keywords = "Authentication, Fingerprint recognition, Hardware, Measurement, Robustness, Taxonomy, biometric, biometric authentication, biometric fusion, biometric security classification, biometrics (access control), categorisation, categorisation techniques, liveness detection, pattern classification, security, security of data, spoofing attacks",
author = "Peter Matthew and Mark Anderson",
note = "978-1-4799-5072-0",
year = "2014",
doi = "10.1109/NGMAST.2014.51",
language = "English",
pages = "153--158",
journal = "Next Generation Mobile Apps, Services and Technologies (NGMAST), 2014 Eigth International Conference.",
publisher = "IEEE",

}

TY - JOUR

T1 - Novel Categorisation Techniques for Liveness Detection

AU - Matthew, Peter

AU - Anderson, Mark

N1 - 978-1-4799-5072-0

PY - 2014

Y1 - 2014

N2 - Liveness detection is a rapidly expanding research area, an area that has become more relevant, due to the increased complexity and sophistication of spoofing attacks. Despite much research within liveness detection, a lack exists regarding the categorisation of liveness detection techniques. Therefore the development of a taxonomy that identifies the characteristics of liveness detection, and creates a standardized universal measure will provide a useful and applicable approach to liveness detection. This research will focus on developing the measures needed for liveness detection characteristics. To do this, specific emphasis is given to biometric security classifications, as liveness detection is a sub-system of biometric security, and it can inherit a features that are relevant. The development of these novel liveness detection categorisation techniques is of vital importance to understand the effectiveness of liveness detection.

AB - Liveness detection is a rapidly expanding research area, an area that has become more relevant, due to the increased complexity and sophistication of spoofing attacks. Despite much research within liveness detection, a lack exists regarding the categorisation of liveness detection techniques. Therefore the development of a taxonomy that identifies the characteristics of liveness detection, and creates a standardized universal measure will provide a useful and applicable approach to liveness detection. This research will focus on developing the measures needed for liveness detection characteristics. To do this, specific emphasis is given to biometric security classifications, as liveness detection is a sub-system of biometric security, and it can inherit a features that are relevant. The development of these novel liveness detection categorisation techniques is of vital importance to understand the effectiveness of liveness detection.

KW - Authentication

KW - Fingerprint recognition

KW - Hardware

KW - Measurement

KW - Robustness

KW - Taxonomy

KW - biometric

KW - biometric authentication

KW - biometric fusion

KW - biometric security classification

KW - biometrics (access control)

KW - categorisation

KW - categorisation techniques

KW - liveness detection

KW - pattern classification

KW - security

KW - security of data

KW - spoofing attacks

UR - http://www.mendeley.com/research/novel-categorisation-techniques-liveness-detection

U2 - 10.1109/NGMAST.2014.51

DO - 10.1109/NGMAST.2014.51

M3 - Article

SP - 153

EP - 158

JO - Next Generation Mobile Apps, Services and Technologies (NGMAST), 2014 Eigth International Conference.

JF - Next Generation Mobile Apps, Services and Technologies (NGMAST), 2014 Eigth International Conference.

ER -