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© 2014

Signal and Image Processing for Biometrics

  • Jacob Scharcanski
  • Hugo Proença
  • Eliza Du

Benefits

  • Focused biometric recognition under uncontrolled data acquisition conditions

  • Offers a guide to the state-of-the-art in signal and image processing techniques

  • Introduces the fast moving field to newcomers and provides new insight to more experienced practitioners

Book

Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 292)

Table of contents

  1. Front Matter
    Pages i-x
  2. Geert Verdoolaege, John Soldera, Thiarlei Macedo, Jacob Scharcanski
    Pages 1-35
  3. Vishal M. Patel, Jie Ni, Rama Chellappa
    Pages 37-56
  4. H. Proença, J. C. Neves, J. Sequeiros, N. Carapito, N. C. Garcia
    Pages 57-75
  5. Silvio Barra, Maria De Marsico, Michele Nappi, Daniel Riccio
    Pages 129-190
  6. Zhi Zhou, Eliza Yingzi Du, N. Luke Thomas
    Pages 191-207
  7. Yasushi Makihara, Akira Tsuji, Yasushi Yagi
    Pages 209-229
  8. Nesma Houmani, Sonia Garcia-Salicetti
    Pages 255-283
  9. Kamil Grabowski, Wojciech Sankowski
    Pages 285-331

About this book

Introduction

This volume offers a guide to the state of the art in the fast evolving field of biometric recognition to newcomers and experienced practitioners. It is focused on the emerging strategies to perform biometric recognition under uncontrolled data acquisition conditions. The mainstream research work in this field is presented in an organized manner, so the reader can easily follow the trends that best suits her/his interests in this growing field.
The book chapters cover the recent advances in less controlled / covert data acquisition frameworks, segmentation of poor quality biometric data, biometric data quality assessment, normalization of poor quality biometric data. contactless biometric recognition strategies, biometric recognition robustness, data resolution, illumination, distance, pose, motion, occlusions, multispectral biometric recognition, multimodal biometrics, fusion at different levels, high confidence automatic surveillance.

Keywords

Biometric Pattern Recognition Computer Forensics Contactless Data Acquisition Data Privacy Multimodal Biometrics Threat Assessment Uncontrolled Data Acquisition Conditions Varying Illumination Sources Visual Surveillance

Editors and affiliations

  • Jacob Scharcanski
    • 1
  • Hugo Proença
    • 2
  • Eliza Du
    • 3
  1. 1.Federal University of Rio Grande do SulPorto AlegreBrazil
  2. 2.IT-Instituto de TelecomunicaçõesUniversity of Beira InteriorCovilhãPortugal
  3. 3.Indiana University-Purdue University IndianapolisIndianapolisUSA

Bibliographic information

  • Book Title Signal and Image Processing for Biometrics
  • Editors Jacob Scharcanski
    Hugo Proença
    Eliza Du
  • Series Title Lecture Notes in Electrical Engineering
  • Series Abbreviated Title Lect. Notes Electrical Eng.
  • DOI https://doi.org/10.1007/978-3-642-54080-6
  • Copyright Information Springer-Verlag Berlin Heidelberg 2014
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-3-642-54079-0
  • Softcover ISBN 978-3-662-50968-5
  • eBook ISBN 978-3-642-54080-6
  • Series ISSN 1876-1100
  • Series E-ISSN 1876-1119
  • Edition Number 1
  • Number of Pages X, 331
  • Number of Illustrations 59 b/w illustrations, 91 illustrations in colour
  • Topics Signal, Image and Speech Processing
    Biometrics
    Security Science and Technology
  • Buy this book on publisher's site
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Reviews

From the book reviews:

“This book (consisting of 11 chapters) covers the state-of-the-art research on signal and image processing techniques used to support biometric recognition. … This book offers a good introduction to junior graduate students who are new to the field, and is also a good comprehensive reference for experienced practitioners.” (Mingchen Gao, Computing Reviews, August, 2014)