|
Showing 1 - 4 of
4 matches in All Departments
This interdisciplinary volume presents a detailed overview of the
latest advances and challenges remaining in the field of adaptive
biometric systems. A broad range of techniques are provided from an
international selection of pre-eminent authorities, collected
together under a unified taxonomy and designed to be applicable to
any pattern recognition system. Features: presents a thorough
introduction to the concept of adaptive biometric systems; reviews
systems for adaptive face recognition that perform self-updating of
facial models using operational (unlabeled) data; describes a novel
semi-supervised training strategy known as fusion-based
co-training; examines the characterization and recognition of human
gestures in videos; discusses a selection of learning techniques
that can be applied to build an adaptive biometric system;
investigates procedures for handling temporal variance in facial
biometrics due to aging; proposes a score-level fusion scheme for
an adaptive multimodal biometric system.
This interdisciplinary volume presents a detailed overview of the
latest advances and challenges remaining in the field of adaptive
biometric systems. A broad range of techniques are provided from an
international selection of pre-eminent authorities, collected
together under a unified taxonomy and designed to be applicable to
any pattern recognition system. Features: presents a thorough
introduction to the concept of adaptive biometric systems; reviews
systems for adaptive face recognition that perform self-updating of
facial models using operational (unlabeled) data; describes a novel
semi-supervised training strategy known as fusion-based
co-training; examines the characterization and recognition of human
gestures in videos; discusses a selection of learning techniques
that can be applied to build an adaptive biometric system;
investigates procedures for handling temporal variance in facial
biometrics due to aging; proposes a score-level fusion scheme for
an adaptive multimodal biometric system.
This book highlights the field of selfie biometrics, providing a
clear overview and presenting recent advances and challenges. It
also discusses numerous selfie authentication techniques on mobile
devices. Biometric authentication using mobile devices is becoming
a convenient and important means of verifying identity for secured
access and services such as telebanking and electronic
transactions. In this context, face and ocular biometrics in the
visible spectrum has gained increased attention from the research
community. However, device mobility and operation in uncontrolled
environments mean that facial and ocular images captured with
mobile devices exhibit substantial degradation as a result of
adverse lighting conditions, specular reflections and motion and
defocus blur. In addition, low spatial resolution and the small
sensor of front-facing mobile cameras further degrade the sample
quality, reducing the recognition accuracy of face and ocular
recognition technology when integrated into smartphones. Presenting
the state of the art in mobile biometric research and technology,
and offering an overview of the potential problems in real-time
integration of biometrics in mobile devices, this book is a
valuable resource for final-year undergraduate students,
postgraduate students, engineers, researchers and academics in
various fields of computer engineering.
This book highlights the field of selfie biometrics, providing a
clear overview and presenting recent advances and challenges. It
also discusses numerous selfie authentication techniques on mobile
devices. Biometric authentication using mobile devices is becoming
a convenient and important means of verifying identity for secured
access and services such as telebanking and electronic
transactions. In this context, face and ocular biometrics in the
visible spectrum has gained increased attention from the research
community. However, device mobility and operation in uncontrolled
environments mean that facial and ocular images captured with
mobile devices exhibit substantial degradation as a result of
adverse lighting conditions, specular reflections and motion and
defocus blur. In addition, low spatial resolution and the small
sensor of front-facing mobile cameras further degrade the sample
quality, reducing the recognition accuracy of face and ocular
recognition technology when integrated into smartphones. Presenting
the state of the art in mobile biometric research and technology,
and offering an overview of the potential problems in real-time
integration of biometrics in mobile devices, this book is a
valuable resource for final-year undergraduate students,
postgraduate students, engineers, researchers and academics in
various fields of computer engineering.
|
You may like...
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
Hampstead
Diane Keaton, Brendan Gleeson, …
DVD
R66
Discovery Miles 660
|