Published by LAP LAMBERT Academic Publishing Mär 2012, 2012
ISBN 10: 3848449374 ISBN 13: 9783848449378
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Add to basketTaschenbuch. Condition: Neu. Neuware -In recent years, use of biometric systems has been increasing rapidly in the field of identity verification of individuals. Human physiological or behavioral characteristics are available uniquely to each individual as biometrics evidence. Unimodal biometrics systems are designed based on a single identifier, such as face, fingerprint, etc. However, it suffers from several limitations and due to these limitations it often degrades the performance. These limitations can be minimized by using multibiometric systems that consolidate evidences obtained from multiple biometrics sources. The overall aim of this book is to present some novel multibiometrics systems which can be used in different security related applications. Further, this book is an invaluable collection of most up-to-date multibiometrics algorithms which are presented with novel computer vision and machine learning techniques under a unified framework. This book will be helpful to industry practitioners, researchers and academicians who are engaged in various disciplines of system sciences, information security and identity businesses.Books on Demand GmbH, Überseering 33, 22297 Hamburg 176 pp. Englisch.
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848449374 ISBN 13: 9783848449378
Language: English
Seller: Mispah books, Redhill, SURRE, United Kingdom
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Published by LAP LAMBERT Academic Publishing Mrz 2012, 2012
ISBN 10: 3848449374 ISBN 13: 9783848449378
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In recent years, use of biometric systems has been increasing rapidly in the field of identity verification of individuals. Human physiological or behavioral characteristics are available uniquely to each individual as biometrics evidence. Unimodal biometrics systems are designed based on a single identifier, such as face, fingerprint, etc. However, it suffers from several limitations and due to these limitations it often degrades the performance. These limitations can be minimized by using multibiometric systems that consolidate evidences obtained from multiple biometrics sources. The overall aim of this book is to present some novel multibiometrics systems which can be used in different security related applications. Further, this book is an invaluable collection of most up-to-date multibiometrics algorithms which are presented with novel computer vision and machine learning techniques under a unified framework. This book will be helpful to industry practitioners, researchers and academicians who are engaged in various disciplines of system sciences, information security and identity businesses. 176 pp. Englisch.
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848449374 ISBN 13: 9783848449378
Language: English
Seller: moluna, Greven, Germany
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kisku Dakshina RanjanDr. Dakshina Ranjan Kisku is an Assistant Professor in the Dept. of Computer Science and Engineering at the Asansol Engineering College, India. He received his PhD from Jadavpur University in 2011. His main resea.
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848449374 ISBN 13: 9783848449378
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
£ 60.57
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In recent years, use of biometric systems has been increasing rapidly in the field of identity verification of individuals. Human physiological or behavioral characteristics are available uniquely to each individual as biometrics evidence. Unimodal biometrics systems are designed based on a single identifier, such as face, fingerprint, etc. However, it suffers from several limitations and due to these limitations it often degrades the performance. These limitations can be minimized by using multibiometric systems that consolidate evidences obtained from multiple biometrics sources. The overall aim of this book is to present some novel multibiometrics systems which can be used in different security related applications. Further, this book is an invaluable collection of most up-to-date multibiometrics algorithms which are presented with novel computer vision and machine learning techniques under a unified framework. This book will be helpful to industry practitioners, researchers and academicians who are engaged in various disciplines of system sciences, information security and identity businesses.