Advances in Biometric Recognition

Biometrics is the technical term for body measurements and calculations. It refers to metrics related to human characteristics. Biometrics authentication (or realistic authentication) is used in computer science as a form of identification and access control. It is also used to identify individuals in groups that are under surveillance.


In the present book, fifteen typical literatures about biometric recognition published on international authoritative journals were selected to introduce the worldwide newest progress, which contains reviews or original researches on biometric functionality, multimodal biometric system, adaptive biometric systems, cancelable biometrics, soft biometrics, biometric authentication, etc. We hope this book can demonstrate advances in biometric recognition as well as give references to the researchers, students and other related people.

Components of the Book:
  • Chapter 1
    Feature exploration for biometric recognition using millimetre wave body images
  • Chapter 2
    A Failure to “Do No Harm” -- India’s Aadhaar biometric ID program and its inability to protect privacy in relation to measures in Europe and the U.S.
  • Chapter 3
    An image database of Drosophila melanogaster wings for phenomic and biometric analysis
  • Chapter 4
    An overview of steganography techniques applied to the protection of biometric data
  • Chapter 5
    Quality assessment of image-based biometric information
  • Chapter 6
    On biometric systems: electrocardiogram Gaussianity and data synthesis
  • Chapter 7
    Modeling long-term human activeness using recurrent neural networks for biometric data
  • Chapter 8
    Soft-biometrics evaluation for people re-identification in uncontrolled multi-camera environments
  • Chapter 9
    On rotational pre-alignment for tree log identification using methods inspired by fingerprint and iris recognition
  • Chapter 10
    Fusion of eye movement and mouse dynamics for reliable behavioral biometrics
  • Chapter 11
    Ear biometrics for patient identification in global health: a cross-sectional study to test the feasibility of a simplified algorithm
  • Chapter 12
    Fingerprint-based crypto-biometric system for network security
Readership: Students, academics, teachers and other people attending or interested in biometric recognition.
Julian Fierrez, Department of Electronics and Communications Technology, Madrid, Madrid, Spain

Pam Dixon, World Privacy Forum, Portland, USA

Ian Dworkin, Department of Biology, McMaster University, Hamilton, Ontario, Canada

Anne Sonnenschein, Genetics Graduate Program, Michigan State University, East Lansing, USA

Mandy Douglas, Institute of Technology, Letterkenny, Ireland

Kevin Curran, Faculty of Computing and Engineering, Ulster University, Coleraine, Northern Ireland

and more...
This Book

315pp. Published November 2018

Scientific Research Publishing,Inc.,USA

Category:Biomedical & Life Sciences

ISBN: 978-1-61896-629-2

(Hardcover) USD 109.00

ISBN: 978-1-61896-628-5

(Paperback) USD 89.00

Authors/Editors Price: 40% off
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