Biometric User Authentication for It Security : From Fundamentals to Handwriting

Vielhauer, Claus

ISBN 10: 038726194X / ISBN 13: 9780387261942

Published by Springer Us, 2005

About this Item

Zustand: Sehr gut | Seiten: 284 | Sprache: Englisch | Produktart: Bücher | Biometric user authentication techniques evoke an enormous interest by science, industry and society. Scientists and developers constantly pursue technology for automated determination or confirmation of the identity of subjects based on measurements of physiological or behavioral traits of humans.Biometric User Authentication for IT Security: From Fundamentals to Handwriting conveys general principals of passive (physiological trait like fingerprint, iris, face) and active (learned and trained behavior like voice, handwriting and gait) biometric recognition techniques to the reader. This professional book, unlike other publications in this area which concentrate on passive schemes, reflects a more comprehensive analysis of one particular active biometric technique: handwriting. Aspects which are thoroughly discussed include sensor characteristic dependency, attack scenarios, and the generation of cryptographic keys from handwriting.Biometric User Authentication for IT Security: From Fundamentals to Handwriting is designed for a professional audience composed of practitioners and researchers in industry. This volume is also suitable for graduate-level students in computer science and electrical engineering for the study of biometrics in the spectrum ranging from signal processing to IT security.

Seller Inventory # 2938885/2

Bibliographic Details

• Title: Biometric User Authentication for It Security : From Fundamentals to Handwriting
• Publisher: Springer Us
• Publication Date: 2005
• Language: English
• ISBN 10: 038726194X
• ISBN 13: 9780387261942
• Binding: Hardcover
• Condition: Sehr gut
• Seller catalogs:
  • Bücher

About this title

Synopsis

Biometric user authentication techniques evoke an enormous interest by science, industry and society. Scientists and developers constantly pursue technology for automated determination or confirmation of the identity of subjects based on measurements of physiological or behavioral traits of humans.

Biometric User Authentication for IT Security: From Fundamentals to Handwriting conveys general principals of passive (physiological traits such as fingerprint, iris, face) and active (learned and trained behavior such as voice, handwriting and gait) biometric recognition techniques to the reader. Unlike other publications in this area that concentrate on passive schemes, this professional book reflects a more comprehensive analysis of one particular active biometric technique: handwriting. Aspects that are thoroughly discussed include sensor characteristic dependency, attack scenarios, and the generation of cryptographic keys from handwriting.

From the Back Cover

Biometric user authentication techniques evoke an enormous interest by science, industry and society. Scientists and developers constantly pursue technology for automated determination or confirmation of the identity of subjects based on measurements of physiological or behavioral traits of humans.

Biometric User Authentication for IT Security: From Fundamentals to Handwriting conveys general principals of passive (physiological trait like fingerprint, iris, face) and active (learned and trained behavior like voice, handwriting and gait) biometric recognition techniques to the reader. This professional book, unlike other publications in this area which concentrate on passive schemes, reflects a more comprehensive analysis of one particular active biometric technique: handwriting. Aspects which are thoroughly discussed include sensor characteristic dependency, attack scenarios, and the generation of cryptographic keys from handwriting.

Biometric User Authentication for IT Security: From Fundamentals to Handwriting is designed for a professional audience composed of practitioners and researchers in industry. This volume is also suitable for graduate-level students in computer science and electrical engineering for the study of biometrics in the spectrum ranging from signal processing to IT security.