Lecture Notes in Computer Science

Biometric Authentication

International ECCV 2002 Workshop Copenhagen, Denmark, June 1, 2002 Proceedings

Editors: Tistarelli, Massimo, Bigun, Josef, Jain, Anil (Eds.)

Buy this book

eBook $69.99
price for USA (gross)
  • ISBN 978-3-540-47917-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $99.00
price for USA
  • ISBN 978-3-540-43723-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Biometric authentication refers to identifying an individual based on his or her distinguishing physiological and/or behavioral characteristics. It associates an individual with a previously determined identity based on that individual s appearance or behavior. Because many physiological or behavioral characteristics (biometric indicators) are distinctive to each person, biometric identifiers are inherently more reliable and more capable than knowledge-based (e.g., password) and token-based (e.g., a key) techniques in differentiating between an authorized person and a fraudulent impostor. For this reason, more and more organizations are looking to automated identity authentication systems to improve customer satisfaction, security, and operating efficiency as well as to save critical resources. Biometric authentication is a challenging pattern recognition problem; it involves more than just template matching. The intrinsic nature of biometric data must be carefully studied, analyzed, and its properties taken into account in developing suitable representation and matching algorithms. The intrinsic variability of data with time and environmental conditions, the social acceptability and invasiveness of acquisition devices, and the facility with which the data can be counterfeited must be considered in the choice of a biometric indicator for a given application. In order to deploy a biometric authentication system, one must consider its reliability, accuracy, applicability, and efficiency. Eventually, it may be necessary to combine several biometric indicators (multimodal-biometrics) to cope with the drawbacks of the individual biometric indicators.

Table of contents (19 chapters)

  • An Incremental Learning Algorithm for Face Recognition

    Déniz, O. (et al.)

    Pages 1-9

  • Face Recognition Based on ICA Combined with FLD

    Yi, Juneho (et al.)

    Pages 10-18

  • Understanding Iconic Image-Based Face Biometrics

    Tistarelli, Massimo (et al.)

    Pages 19-29

  • Fusion of LDA and PCA for Face Verification

    Marcialis, Gian Luca (et al.)

    Pages 30-37

  • Complex Filters Applied to Fingerprint Images Detecting Prominent Symmetry Points Used for Alignment

    Nilsson, Kenneth (et al.)

    Pages 39-47

Buy this book

eBook $69.99
price for USA (gross)
  • ISBN 978-3-540-47917-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $99.00
price for USA
  • ISBN 978-3-540-43723-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Biometric Authentication
Book Subtitle
International ECCV 2002 Workshop Copenhagen, Denmark, June 1, 2002 Proceedings
Editors
  • Massimo Tistarelli
  • Josef Bigun
  • Anil Jain
Series Title
Lecture Notes in Computer Science
Series Volume
2359
Copyright
2002
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-47917-8
DOI
10.1007/3-540-47917-1
Softcover ISBN
978-3-540-43723-9
Series ISSN
0302-9743
Edition Number
1
Number of Pages
X, 202
Topics