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CRC Press AI and Deep Learning in Biometric Security - CRC Press

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Description

This comprehensive guide explores artificial intelligence and deep learning applications in biometric security, covering critical topics including authentication, template protection, spoofing detection, and classification systems. Written by CRC Press, the book combines theoretical foundations with practical case studies across multiple biometric modalities: face, hand, iris, gait, fingerprint, vein, and medical traits. The text examines advanced neural network architectures including convolutional neural networks, autoencoders, and recurrent convolutional neural networks, equipping readers with both conceptual understanding and implementation knowledge. Ideal for students and professionals seeking to understand how artificial intelligence addresses modern biometric security challenges and emerging research trends in the field.

Key Features

CRC Press publication covering artificial intelligence and deep learning methodologies applied to biometric security systems and authentication.

In-depth case studies demonstrate practical applications of neural networks for solving real-world biometric security problems and vulnerabilities.

Explores multiple biometric modalities including face recognition, fingerprint analysis, iris scanning, gait recognition, hand geometry, and vein identification.

Step-by-step guidance through deep learning concepts makes complex AI principles accessible to readers at various knowledge levels.

Examines cutting-edge architectures such as convolutional neural networks, autoencoders, and recurrent convolutional neural networks for biometric applications.

Covers spoofing attack detection, template protection, gender classification, and region of interest detection techniques.

Product Specifications

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

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