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Signal and Image Processing for Biometrics

  • Book
  • © 2014

Overview

Editors:
  1. Jacob Scharcanski

    1. Federal University of Rio Grande do Sul, Porto Alegre, Brazil

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    You can also search for this editor in PubMed   Google Scholar

  2. Hugo Proença

    1. IT-Instituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal

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    You can also search for this editor in PubMed   Google Scholar

  3. Eliza Du

    1. Indiana University-Purdue University Indianapolis, Indianapolis, USA

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    You can also search for this editor in PubMed   Google Scholar

  • 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
  • Includes supplementary material: sn.pub/extras

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

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Table of contents (11 chapters)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Data and Information Dimensionality in Non-cooperative Face Recognition

    • Geert Verdoolaege, John Soldera, Thiarlei Macedo, Jacob Scharcanski
    Pages 1-35

  3. Remote Identification of Faces

    • Vishal M. Patel, Jie Ni, Rama Chellappa
    Pages 37-56

  4. Biometric Identification from Facial Sketches of Poor Reliability: Comparison of Human and Machine Performance

    • H. Proença, J. C. Neves, J. Sequeiros, N. Carapito, N. C. Garcia
    Pages 57-75

  5. Recognizing Altered Facial Appearances Due to Aging and Disguise

    • Richa Singh
    Pages 77-106

  6. Using Score Fusion for Improving the Performance of Multispectral Face Recognition

    • Yufeng Zheng
    Pages 107-128

  7. Unconstrained Ear Processing: What is Possible and What Must Be Done

    • Silvio Barra, Maria De Marsico, Michele Nappi, Daniel Riccio
    Pages 129-190

  8. Feature Quality-Based Unconstrained Eye Recognition

    • Zhi Zhou, Eliza Yingzi Du, N. Luke Thomas
    Pages 191-207

  9. Speed-Invariant Gait Recognition

    • Yasushi Makihara, Akira Tsuji, Yasushi Yagi
    Pages 209-229

  10. Quality Induced Multiclassifier Fingerprint Verification Using Extended Feature Set

    • Mayank Vatsa
    Pages 231-254

  11. Quality Measures for Online Handwritten Signatures

    • Nesma Houmani, Sonia Garcia-Salicetti
    Pages 255-283

  12. Human Tracking in Non-cooperative Scenarios

    • Kamil Grabowski, Wojciech Sankowski
    Pages 285-331
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Keywords

About this book

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.

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)

Editors and Affiliations

  • Federal University of Rio Grande do Sul, Porto Alegre, Brazil

    Jacob Scharcanski

  • IT-Instituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal

    Hugo Proença

  • Indiana University-Purdue University Indianapolis, Indianapolis, USA

    Eliza Du

Bibliographic Information

  • Book Title: Signal and Image Processing for Biometrics

  • Editors: Jacob Scharcanski, Hugo Proença, Eliza Du

  • Series Title: Lecture Notes in Electrical Engineering

  • DOI: https://doi.org/10.1007/978-3-642-54080-6

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2014

  • Hardcover ISBN: 978-3-642-54079-0Published: 07 March 2014

  • Softcover ISBN: 978-3-662-50968-5Published: 03 September 2016

  • eBook ISBN: 978-3-642-54080-6Published: 20 February 2014

  • 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

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