Facial Recognition System: Fundamentals and Applications
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A facial recognition system is a technology that is able to match a human face from a digital image or a video frame against a database of faces. The human face can be captured in either still or moving images. This type of technology is generally used to verify customers through ID verification services. It accomplishes this task by locating and measuring face features from within an image that has been provided to it.
How You Will Benefit
(I) Insights, and validations about the following topics:
Chapter 1: Facial recognition system
Chapter 2: Biometrics
Chapter 3: Face detection
Chapter 4: Biometric points
Chapter 5: Identity-based security
Chapter 6: DeepFace
Chapter 7: Visage SDK
Chapter 8: Algorithmic bias
Chapter 9: Amazon Rekognition
Chapter 10: Clearview AI
(II) Answering the public top questions about facial recognition system.
(III) Real world examples for the usage of facial recognition system in many fields.
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of facial recognition system' technologies.
Who This Book Is For
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of facial recognition system.
