5 books on Facial recognition [PDF]

October 24, 2024

These books are covering technologies used for Facial Recognition such as deep learning, computer vision, and biometric identification. They also deals with the algorithm design, accuracy improvement, privacy concerns, and ethical considerations and include case studies and practical implementation strategies, enabling facial recognition startups to learn from real-world applications in fields like security, authentication, and surveillance.

1. Facial Recognition System: Unlocking the Power of Visual Intelligence
2024 by Fouad Sabry



From this book I found out that facial recognition relies on measuring distinct facial features for authentication. The technology is applied in various sectors including security and surveillance. DeepFace and Amazon Rekognition are notable facial recognition systems. On the other hand identity replacement technology is emerging within the field to complicate the work of recognition systems.
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2. Face Recognition Technology: Compulsory Visibility and Its Impact on Privacy and the Confidentiality of Personal Identifiable Images
2020 by Ian Berle



The book compares American, UK and European case laws on privacy issues of Facial recognition because this technology raises significant privacy concerns due to compulsory visibility. Personal identifiable images can be protected as a form of property. The conclusion is that ethical dilemmas around image rights require new privacy laws and data protection.
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3. Face Recognition Technologies: Designing Systems that Protect Privacy and Prevent Bias
2020 by Douglas Yeung, Rebecca Balebako, Carlos Ignacio Gutierrez Gaviria, Michael Chaykowsky



Nowadays advocacy groups highlight issues related to consent and surveillance risks. This book focuses on privacy and bias that are critical concerns in facial recognition technology design and proposes design strategies to minimize the bias.. It says that ensuring accurate and unbiased systems is essential to their ethical use and framework based on consent status and comparison type can help evaluate FRT systems.
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4. Face Recognition in Adverse Conditions
2014 by De Marsico, Maria



Adverse conditions such as poor lighting and obstructed views challenge facial recognition and variations in pose and facial expression complicate the recognition process. But the recognition systems have also improved over the past decade with lower error rates and can provide accuracy under non-ideal conditions. Research continues to explore ways to improve recognition in difficult environments and this book is tracking it.
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5. Face Recognition: From Theory to Applications
2012 by Harry Wechsler, Jonathon P. Phillips, Vicki Bruce, Francoise Fogelman Soulie, Thomas S. Huang



This book emphasizes the importance of predictive learning in recognition accuracy. The meeting logged by the book highlighted the human visual system's role in processing facial data because human cognitive processes influence how facial recognition systems are designed. Techniques like support vector machines and hybrid approaches are used in face encoding.Practical considerations include database management and system evaluation.
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