Springer | Image Processing | March 15, 2016 | ISBN-10: 3319284991 | 383 pages | pdf | 16.76 mb
Editors: Bourlai, Thirimachos (Ed.)
Reviews the major operational problems and current solutions in the area of human identification
Presents a specific focus on face biometrics using sensors that cover the electromagnetic spectrum more broadly than visible-band cameras
Demonstrates how multi-spectral facial recognition technology can be used in a real-world setting
This authoritative text/reference presents a comprehensive review of algorithms and techniques for face recognition (FR), with an emphasis on systems that can be reliably used in operational environments. Insights are provided by an international team of pre-eminent experts into the processing of multispectral and hyperspectral face images captured under uncontrolled environments. These discussions cover a variety of imaging sensors ranging from state-of-the-art visible and infrared imaging sensors, to RGB-D and mobile phone image sensors. A range of different biometric modalities are also examined, including face, periocular and iris. This timely volume is a mine of useful information for researchers, practitioners and students involved in image processing, computer vision, biometrics and security.
Number of Illustrations and Tables
162 b/w illustrations, 34 illustrations in colour