• A breakthrough approach to improving biometrics performance

• Constructing robust information processing systems for face and voice recognition

• Supporting high-performance data fusion in multimodal systems

• Algorithms, implementation techniques, and application examples

Machine learning: driving significant improvements in biometric performance

As they improve, biometric authentication systems are becoming increasingly indispensable for protecting life and property. This book introduces powerful machine learning techniques that significantly improve biometric performance in a broad spectrum of application domains.

Three leading researchers bridge the gap between research, design, and deployment, introducing key algorithms as well as practical implementation techniques. They demonstrate how to construct robust information processing systems for biometric authentication in both face and voice recognition systems, and to support data fusion in multimodal systems.

Coverage includes:

• How machine learning approaches differ from conventional template matching

• Theoretical pillars of machine learning for complex pattern recognition and classification

• Expectation-maximization (EM) algorithms and support vector machines (SVM)

• Multi-layer learning models and back-propagation (BP) algorithms

• Probabilistic decision-based neural networks (PDNNs) for face biometrics

• Flexible structural frameworks for incorporating machine learning subsystems in biometric applications

• Hierarchical mixture of experts and inter-class learning strategies based on class-based modular networks

• Multi-cue data fusion techniques that integrate face and voice recognition

• Application case studies

Palmprint Authenticationis the first book to provide a comprehensive introduction to palmprint technologies. It reveals automatic biometric techniques for personal identification using palmprint, from the approach based on offline palmprint images, to the current state-of-the-art algorithm using online palmprint images.

Palmprint Authenticationprovides the reader with a basic concept of Palmprint Authentication. It also includes an in-depth discussion of Palmprint Authentication technologies, a detailed description of Palmprint Authentication systems, and an up-to-date coverage of how these issues are developed. This book is suitable for different levels of readers: those who want to learn more about palmprint technology, and those who wish to understand, participate, and/or develop a palmprint authentication system.

Palmprint Authenticationis effectively a handbook for biometric research and development. Graduate students and researchers in computer science, electrical engineering, systems science, and information technology will all find it uniquely useful, not only as a reference book, but also as a text book. Researchers and practitioners in industry, and R&D laboratories working in the fields of security system design, biometrics, immigration, law enforcement, control, and pattern recognition will also benefit from this volume.