£116.00

CRC Press AI and Deep Learning in Biometric Security Book

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Description

Explore the intersection of artificial intelligence and biometric security with this comprehensive text from CRC Press. This book offers an in-depth look at deep learning approaches used to solve modern security problems. Readers will learn how to address challenges in authentication, template protection, and spoofing attack detection through practical case studies. The text covers essential topics including indexing, ROI detection, and gender classification. It provides research on the use of convolutional neural networks, autoencoders, and recurrent convolutional neural networks. These technologies are applied across various biometric traits such as face, hand, iris, gait, fingerprint, vein, and medical biometrics. Designed for those moving from elementary to advanced practices, this guide includes a step-by-step approach to understanding deep learning concepts. It serves as a valuable resource for understanding how cutting-edge research can be applied to secure biometric identification and authentication systems.

Key Features

Covers essential biometric security problems including authentication, indexing, and template protection to improve system reliability.

Provides detailed methods for spoofing attack detection and ROI detection to enhance security protocols.

Explores advanced neural network architectures like convolutional neural networks, autoencoders, and recurrent convolutional neural networks.

Applies deep learning research to diverse biometric traits such as face, hand, iris, gait, fingerprint, vein, and medical data.

Includes a step-by-step guide to help readers master deep learning concepts from elementary to advanced levels.

Uses practical case studies to demonstrate real-world applications of artificial intelligence in biometric security.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
22 March 2021
Listed Since
19 July 2020

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