Guangming Lu – författare

Automatic personal authentication using biometric information is becoming more essential in applications of public security, access control, forensics, banking, etc. Many kinds of biometric authentication techniques have been developed based on different biometric characteristics. However, most of the physical biometric recognition techniques are based on two dimensional (2D) images, despite the fact that human characteristics are three dimensional (3D) surfaces. Recently, 3D techniques have been applied to biometric applications such as 3D face, 3D palmprint, 3D fingerprint, and 3D ear recognition. This book introduces four typical 3D imaging methods, and presents some case studies in the field of 3D biometrics. This book also includes many efficient 3D feature extraction, matching, and fusion algorithms. These 3D imaging methods and their applications are given as follows:- Single view imaging with line structured-light: 3D ear identification- Single view imaging with multi-line structured-light: 3D palmprint authentication- Single view imaging using only 3D camera: 3D hand verification- Multi-view imaging: 3D fingerprint recognition3D Biometrics: Systems and Applications is a comprehensive introduction to both theoretical issues and practical implementation in 3D biometric authentication. It will serve as a textbook or as a useful reference for graduate students and researchers in the fields of computer science, electrical engineering, systems science, and information technology. Researchers and practitioners in industry and R&D laboratories working on security system design, biometrics, immigration, law enforcement, control, and pattern recognition will also find much of interest in this book.

Automatic personal authentication using biometric information is becoming more essential in applications of public security, access control, forensics, banking, etc. Many kinds of biometric authentication techniques have been developed based on different biometric characteristics. However, most of the physical biometric recognition techniques are based on two dimensional (2D) images, despite the fact that human characteristics are three dimensional (3D) surfaces. Recently, 3D techniques have been applied to biometric applications such as 3D face, 3D palmprint, 3D fingerprint, and 3D ear recognition. This book introduces four typical 3D imaging methods, and presents some case studies in the field of 3D biometrics. This book also includes many efficient 3D feature extraction, matching, and fusion algorithms. These 3D imaging methods and their applications are given as follows:- Single view imaging with line structured-light: 3D ear identification- Single view imaging with multi-line structured-light: 3D palmprint authentication- Single view imaging using only 3D camera: 3D hand verification- Multi-view imaging: 3D fingerprint recognition3D Biometrics: Systems and Applications is a comprehensive introduction to both theoretical issues and practical implementation in 3D biometric authentication. It will serve as a textbook or as a useful reference for graduate students and researchers in the fields of computer science, electrical engineering, systems science, and information technology. Researchers and practitioners in industry and R&D laboratories working on security system design, biometrics, immigration, law enforcement, control, and pattern recognition will also find much of interest in this book.

Automatic personal authentication using biometric information is becoming more essential in applications of public security, access control, forensics, banking, etc. Many kinds of biometric authentication techniques have been developed based on different biometric characteristics. However, most of the physical biometric recognition techniques are based on two dimensional (2D) images, despite the fact that human characteristics are three dimensional (3D) surfaces. Recently, 3D techniques have been applied to biometric applications such as 3D face, 3D palmprint, 3D fingerprint, and 3D ear recognition. This book introduces four typical 3D imaging methods, and presents some case studies in the field of 3D biometrics. This book also includes many efficient 3D feature extraction, matching, and fusion algorithms. These 3D imaging methods and their applications are given as follows:- Single view imaging with line structured-light: 3D ear identification- Single view imaging with multi-line structured-light: 3D palmprint authentication- Single view imaging using only 3D camera: 3D hand verification- Multi-view imaging: 3D fingerprint recognition3D Biometrics: Systems and Applications is a comprehensive introduction to both theoretical issues and practical implementation in 3D biometric authentication. It will serve as a textbook or as a useful reference for graduate students and researchers in the fields of computer science, electrical engineering, systems science, and information technology. Researchers and practitioners in industry and R&D laboratories working on security system design, biometrics, immigration, law enforcement, control, and pattern recognition will also find much of interest in this book.

This book describes a range of new biometric technologies, such as high-resolution fingerprint, finger-knuckle-print, multi-spectral backhand, 3D fingerprint, tongueprint, 3D ear, and multi-spectral iris technologies. Further, it introduces readers to efficient feature extraction, matching and fusion algorithms, in addition to developing potential systems of its own. These advanced biometric technologies and methods are divided as follows: 1. High-Resolution Fingerprint Recognition; 2. Finger-Knuckle-Print Verification; 3. Other Hand-Based Biometrics; and 4. New Head-Based Biometrics.Traditional biometric technologies, such as fingerprint, face, iris, and palmprint, have been extensively studied and addressed in many research books. However, all of these technologies have their own advantages and disadvantages, and there is no single type of biometric technology that can be used for all applications. Many new biometric technologies have been developed in recent years, especially in response to new applications. The contributions gathered here focus on how to develop a new biometric technology based on the requirements of essential applications, and how to design efficient algorithms that yield better performance.

This book describes a range of new biometric technologies, such as high-resolution fingerprint, finger-knuckle-print, multi-spectral backhand, 3D fingerprint, tongueprint, 3D ear, and multi-spectral iris technologies. Further, it introduces readers to efficient feature extraction, matching and fusion algorithms, in addition to developing potential systems of its own. These advanced biometric technologies and methods are divided as follows: 1. High-Resolution Fingerprint Recognition; 2. Finger-Knuckle-Print Verification; 3. Other Hand-Based Biometrics; and 4. New Head-Based Biometrics.

Traditional biometric technologies, such as fingerprint, face, iris, and palmprint, have been extensively studied and addressed in many research books. However, all of these technologies have their own advantages and disadvantages, and there is no single type of biometric technology that can be used for all applications. Many new biometric technologies have been developed in recent years, especia

lly in response to new applications. The contributions gathered here focus on how to develop a new biometric technology based on the requirements of essential applications, and how to design efficient algorithms that yield better performance.

This book describes a range of new biometric technologies, such as high-resolution fingerprint, finger-knuckle-print, multi-spectral backhand, 3D fingerprint, tongueprint, 3D ear, and multi-spectral iris technologies.

This book provides a systematic introduction to the fundamental knowledge and the clinical applications of CT angiography derived fractional flow reserve (CT-FFR) technology, as well as its up-to-date advances. The first two chapters introduce basic anatomy and knowledge of coronary artery diseases. Then, the details of invasive assessment methods of coronary artery disease including coronary CT angiography are presented. In the following chapters, the clinical applications of CT-FFR in the diagnosis and prognosis of different cadiovascular diseases are discussed, highlighting atherosclerotic lesions, coronary revascularization, and congenital anomalies of the coronary artery. Accompanied with high quality illustrations, it is a valuable and comprehensive reference for radiologists and radiological technicians, postgraduates and all the related clinicians to understand the clinical applications of CT-FFR in details.

This book provides an in-depth exploration of CT angiography (CTA), covering fundamental principles, clinical applications, and recent advancements across various body systems.

This book provides an in-depth exploration of CT angiography (CTA), covering fundamental principles, clinical applications, and recent advancements across various body systems. The initial four chapters delve into multi-slice spiral CT principles and techniques, CTA image post-processing, data analysis, radiation dose optimization strategies, and the utilization and principles of CTA contrast agents. Chapters 5 to 21 are dedicated to the extensive applications of CTA technology throughout the body. The newly increased Chapters 20 and 21 offer detailed insights into the clinical application of spinal cord CTA and pediatric CTA. While retaining a strong focus on fundamental knowledge from the first edition, the second edition dedicates more space to radiation dose optimization strategies and highlights CTA''s recent advancements in various systems. It additionally incorporates comprehensive anatomical descriptions of various body parts and emphasizes CTA''s role in disease prognosis and evaluation. This book is suitable for reference study by medical imaging physicians, graduate students, and physicians in related clinical departments.