Multimodal Biometric Systems

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artificial intelligence methods
automatic-update
B01=Manju Khari
B01=Rashmi Gupta
Biometric Identification System
Biometric Identifier
Category1=Non-Fiction
Category=UB
Category=UR
computational intelligence
Convolutional Layers
COP=United Kingdom
Data Set
Deep Learning
Deep Learning Models
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ECG Signal
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eq_computing
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eq_non-fiction
Face Recognition
Fish Images
FishNet
Foggy Image
Fuzzy Neural Network Model
IoT Device
IoT Gadget
IoT Security
Language_English
LBP
LTE
machine learning applications
MQTT
multimodal authentication systems research
Object Detection
Object Detection Methods
PA=Available
pattern recognition
Power Consumption
Price_€50 to €100
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Raw ECG Signal
RGB
RGB Channel
RGB Image
sensor network security
softlaunch
Softmax Classifier
SSIM
surveillance analytics
Wireless Sensor Network
WSN

Product details

  • ISBN 9780367685577
  • Weight: 258g
  • Dimensions: 156 x 234mm
  • Publication Date: 09 Oct 2024
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
  • Language: English
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Many governments around the world are calling for the use of biometric systems to provide crucial societal functions, consequently making it an urgent area for action. The current performance of some biometric systems in terms of their error rates, robustness, and system security may prove to be inadequate for large-scale applications to process millions of users at a high rate of throughput.

This book focuses on fusion in biometric systems. It discusses the present level, the limitations, and proposed methods to improve performance. It describes the fundamental concepts, current research, and security-related issues. The book will present a computational perspective, identify challenges, and cover new problem-solving strategies, offering solved problems and case studies to help with reader comprehension and deep understanding.

This book is written for researchers, practitioners, both undergraduate and post-graduate students, and those working in various engineering fields such as Systems Engineering, Computer Science, Information Technology, Electronics, and Communications.