Multispectral Biometrics Systems and Applications /

Describing several new biometric technologies, such as high-resolution fingerprint, finger-knuckle-print, multi-spectral backhand, 3D fingerprint, tongueprint, 3D ear, and multi-spectral iris recognition technologies, this book analyzes a number of efficient feature extraction, matching and fusion a...

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Bibliographic Details
Main Authors: Zhang, David (Author), Guo, Zhenhua (Author), Gong, Yazhuo (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2016.
Imprint: Springer,
Edition:1st ed. 2016.
Subjects:
Signal processing.
Biometric identification.
Biomedical engineering.
Signal, Speech and Image Processing.
Biometrics.
Biomedical Engineering and Bioengineering.
Online Access:Full-text access
Table of Contents:
  • Multimodal Fusion for Robust Identity Authentication: Role of Liveness Checks
  • Multimodal Biometric Person Recognition System Based on Multi-Spectral Palmprint Features Using Fusion of Wavelet Representations
  • Audio-Visual Biometrics and Forgery
  • Face and ECG Based Multi-Modal Biometric Authentication
  • Biometrical Fusion - Input Statistical Distribution
  • Normalization of Infrared Facial Images under Variant Ambient Temperatures
  • Use of Spectral Biometrics for Aliveness Detection
  • A Contactless Biometric System Using Palm Print and Palm Vein Features
  • Liveness Detection in Biometrics
  • Fingerprint Recognition
  • A Gender Detection Approach
  • Improving Iris Recognition Performance Using Quality Measures
  • Application of LCS Algorithm to Authenticate Users within Their Mobile Phone Through In-Air Signatures
  • Performance Comparison of Principal Component Analysis-Based Face Recognition in Color Space
  • Block Coding Schemes Designed for Biometric Authentication
  • Perceived Age Estimation from Face Images
  • Cell Biometrics Based on Bio-Impedance Measurements
  • Hand Biometrics in Mobile Dices.

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