Signals and Communication Technology

Face Biometrics for Personal Identification

Multi-Sensory Multi-Modal Systems

Editors: Abidi, Besma, Abidi, Mongi A. (Eds.)

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About this book

This book provides an ample coverage of theoretical and experimental state-of-the-art work as well as new trends and directions in the biometrics field. It offers students and software engineers a thorough understanding of how some core low-level building blocks of a multi-biometric system are implemented. While this book covers a range of biometric traits including facial geometry, 3D ear form, fingerprints, vein structure, voice, and gait, its main emphasis is placed on multi-sensory and multi-modal face biometrics algorithms and systems. "Multi-sensory" refers to combining data from two or more biometric sensors, such as synchronized reflectance-based and temperature-based face images. "Multi-modal" biometrics means fusing two or more biometric modalities, like face images and voice timber. This practical reference contains four distinctive parts and a brief introduction chapter. The first part addresses new and emerging face biometrics. Emphasis is placed on biometric systems where single sensor and single modality are employed in challenging imaging conditions. The second part on multi-sensory face biometrics deals with the personal identification task in challenging variable illuminations and outdoor operating scenarios by employing visible and thermal sensors. The third part of the book focuses on multi-modal face biometrics by integrating voice, ear, and gait modalities with facial data. The last part presents generic chapters on multi-biometrics fusion methodologies and performance prediction techniques.

Table of contents (3 chapters)

  • Pose and Illumination Invariant Face Recognition Using Video Sequences

    Amit K. Roy-Chowdhury, Yilei Xu Ph.D.

    Pages 9-25

  • Recognizing Faces Across Age Progression

    Narayanan Ramanathan Ph.D., Rama Chellappa

    Pages 27-42

  • Core Faces: A Shift-Invariant Principal Component Analysis (PCA) Correlation Filter Bank for Illumination-Tolerant Face Recognition

    Marios Savvides Ph.D., B. V. K. Vijaya Kumar, Pradeep K. Khosla

    Pages 61-71

Buy this book

eBook $139.00
price for USA
  • ISBN 978-3-540-49346-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $179.00
price for USA
  • ISBN 978-3-540-49344-0
  • Free shipping for individuals worldwide
  • This title is currently reprinting. You can pre-order your copy now.

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Bibliographic Information

Bibliographic Information
Book Title
Face Biometrics for Personal Identification
Book Subtitle
Multi-Sensory Multi-Modal Systems
Editors
  • Besma Abidi
  • Mongi A. Abidi
Series Title
Signals and Communication Technology
Copyright
2007
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-49346-4
DOI
10.1007/978-3-540-49346-4
Hardcover ISBN
978-3-540-49344-0
Series ISSN
1860-4862
Edition Number
1
Number of Pages
XV, 275
Number of Illustrations and Tables
68 illustrations in colour
Topics