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6 books on Facial recognition [PDF]
June 19, 2025 | 15 |
These are books about facial recognition technologies and algorithms (mainly computer vision), the use of facial recognition in security, law enforcement, mass surveillance and the ethical dilemmas associated with it.
1. Biometric Technology and Authentication: Biocryptography and Cloud-Based Architecture
2025 by Ravi Das
This book is about biometric identification and face recognition is one of the popular technologies for solving this problem. The description of the technology is rather superficial, but normal for beginners. For example, you will learn that face recognition techniques are divided into two types: appearance-based and model-based. The first (used since 1988) - use only one image of the face and do not create its 3D model. The face is represented in the form of various projections. Such methods include, for example, the principal component analysis (PCA) and linear discriminant analysis (LDA). The second category - first creates a 3D model of the face and then use it to analyze the differences between faces. One of such methods is Elastic Bunch Graph Matching.
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2. 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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3. 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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4. 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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5. 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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6. 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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How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
1. Biometric Technology and Authentication: Biocryptography and Cloud-Based Architecture
2025 by Ravi Das
This book is about biometric identification and face recognition is one of the popular technologies for solving this problem. The description of the technology is rather superficial, but normal for beginners. For example, you will learn that face recognition techniques are divided into two types: appearance-based and model-based. The first (used since 1988) - use only one image of the face and do not create its 3D model. The face is represented in the form of various projections. Such methods include, for example, the principal component analysis (PCA) and linear discriminant analysis (LDA). The second category - first creates a 3D model of the face and then use it to analyze the differences between faces. One of such methods is Elastic Bunch Graph Matching.
Download PDF
2. 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.
Download PDF
3. 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.
Download PDF
4. 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.
Download PDF
5. 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.
Download PDF
6. 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.
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
