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 recognition 3D
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.
