BOOKS - PROGRAMMING - Machine Learning and Biometrics
US $7.48
844383
844383
Machine Learning and Biometrics
Author: Adele Kuzmiakova
Year: 2022
Number of pages: 248
Format: PDF
File size: 10.2 MB
Language: ENG
Year: 2022
Number of pages: 248
Format: PDF
File size: 10.2 MB
Language: ENG
This comprehensive guide provides a detailed overview of modern biometrics, which allows a person to be identified and authenticated based on recognizable, unique, and verifiable data. Biometrics technologies include detection of dormant fingerprints, iris, gait, or facial and voice recognition. Today, biometrics powers cutting-edge security algorithms. Biometrics is used for access into banks, airports or personal smartphones, which means that your money and personal information can be stored safely. Each chapter starts with a comprehensive review of the biometrics technology and its algorithmic description, describes how it works, and outlines all of the applicable and modern use cases of that technology. This book will be an invaluable companion guide to students wishing to become system designers, micro-engineers, security algorithms creators, security experts, and electronic security system manufacturers working on controls or microchips. This textbook provides a comprehensive outline of machine learning designs for biometric and perceptual tasks. The book synthesizes cutting-edge research on applications of CNN (convolutional neural networks) in fingerprint, iris, face, and vascular biometric systems, and soft biometric surveillance systems.