Facial Recognition System
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Facial Recognition System
Author: Fouad Sabry
language: en
Publisher: One Billion Knowledgeable
Release Date: 2023-07-06
What Is Facial Recognition System 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.
Face Recognition Technology
This book examines how face recognition technology is affecting privacy and confidentiality in an era of enhanced surveillance. Further, it offers a new approach to the complex issues of privacy and confidentiality, by drawing on Joseph K in Kafka’s disturbing novel The Trial, and on Isaiah Berlin’s notion of liberty and freedom. Taking into consideration rights and wrongs, protection from harm associated with compulsory visibility, and the need for effective data protection law, the author promotes ethical practices by reinterpreting privacy as a property right. To protect this right, the author advocates the licensing of personal identifiable images where appropriate. The book reviews American, UK and European case law concerning privacy and confidentiality, the effect each case has had on the developing jurisprudence, and the ethical issues involved. As such, it offers a valuable resource for students of ethico-legal fields, professionals specialising in image rights law, policy-makers, and liberty advocates and activists.
Handbook of Face Recognition
Author: Stan Z. Li
language: en
Publisher: Springer Science & Business Media
Release Date: 2005-12-06
Although the history of computer-aided face recognition stretches back to the 1960s, automatic face recognition remains an unsolved problem and still offers a great challenge to computer-vision and pattern recognition researchers. This handbook is a comprehensive account of face recognition research and technology, written by a group of leading international researchers. Twelve chapters cover all the sub-areas and major components for designing operational face recognition systems. Background, modern techniques, recent results, and challenges and future directions are considered. The book is aimed at practitioners and professionals planning to work in face recognition or wanting to become familiar with the state-of- the-art technology. A comprehensive handbook, by leading research authorities, on the concepts, methods, and algorithms for automated face detection and recognition. Essential reference resource for researchers and professionals in biometric security, computer vision, and video image analysis.