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AI and Deep Learning in Biometric Security : Trends, Potential, and Challenges

By: Gaurav Jaswal Vivek Kanhangad Raghavendra Ramachandra (Author)

Ksh 7,940.00
Format :

Format(s): DRM PDF

ISBN-13: 9781000291629

Publisher: CRC Press

Imprint: CRC Press

Publication Date: March 21st, 2021

Language: English

Pages: 364

Physical Edition EAN: 9780367672515

Category: Coding theory & cryptology , Engineering: general , Electrical engineering , Automatic control engineering , Communications engineering / telecommunications , Environmental science, engineering & technology , Legal aspects of IT , Computer security , Computer science , Computer architecture & logic design , Image processing

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  • Description

  • Author Bio

This book provides an in-depth overview of artificial intelligence and deep learning approaches with case studies to solve problems associated with biometric security such as authentication, indexing, template protection, spoofing attack detection, ROI detection, gender classification etc. This text highlights a showcase of cutting-edge research on the use of convolution neural networks, autoencoders, recurrent convolutional neural networks in face, hand, iris, gait, fingerprint, vein, and medical biometric traits. It also provides a step-by-step guide to understanding deep learning concepts for biometrics authentication approaches and presents an analysis of biometric images under various environmental conditions. This book is sure to catch the attention of scholars, researchers, practitioners, and technology aspirants who are willing to research in the field of AI and biometric security.

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