Biometric Authentication: A Machine Learning Approach

1.5. Road Map of the Book

The organization of this book is displayed in Figure 1.2.

1. Part I (Chapters 1 and 2): Overview of biometric authentication systems.

2. Part II (Chapters 3, 4, and 5): Machine learning models serving as the theoretical pillars of the book.

3. Part III (Chapters 6 and 7): Flexible structural frameworks based on hierarchical and modular neural networks, under which machine learning modules can be incorporated as a subsystem.

4. Part IV (Chapters 8, 9, and 10): Issues about how to use machine learning technologies to facilitate implementation of practical biometric authentication systems.

Figure 1.2. Road map of this book.

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Part I provides an overview of state-of-the-art biometric authentication applications, ...