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AI and Deep Learning in Biometric Security: Trends, Potential, and Challenges (Artificial Intelligence (AI): Elementary to Advanced Practices)

Gaurav Jaswal
4.9/5 (16268 ratings)
Description:"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"--We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with AI and Deep Learning in Biometric Security: Trends, Potential, and Challenges (Artificial Intelligence (AI): Elementary to Advanced Practices). To get started finding AI and Deep Learning in Biometric Security: Trends, Potential, and Challenges (Artificial Intelligence (AI): Elementary to Advanced Practices), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
Format
PDF, EPUB & Kindle Edition
Publisher
Release
ISBN
1000291626

AI and Deep Learning in Biometric Security: Trends, Potential, and Challenges (Artificial Intelligence (AI): Elementary to Advanced Practices)

Gaurav Jaswal
4.4/5 (1290744 ratings)
Description: "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"--We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with AI and Deep Learning in Biometric Security: Trends, Potential, and Challenges (Artificial Intelligence (AI): Elementary to Advanced Practices). To get started finding AI and Deep Learning in Biometric Security: Trends, Potential, and Challenges (Artificial Intelligence (AI): Elementary to Advanced Practices), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
Format
PDF, EPUB & Kindle Edition
Publisher
Release
ISBN
1000291626
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