Издательство Springer, 2009, -379 pp.
Biometric is a multidimensional problem which is aimed at understanding the uniqueness of human beings to facilitate recognition. In reality, the dimensionality not only comes from the data, as engineers and computer scientists would think of, but more from the intrinsic nature of the recognition process.We expect to be able to recognize people without errors (D1), at a distance of 1–20 meters (D2), in motion (D3), and even if unaware (D4). Obviously today’s commercial systems cannot cope with all four dimensions, and are never error free. Nonetheless, we believe that, in order to design 4D biometric systems, more efforts are required in the direction of dimensions D2, D3, and D
4. For these reasons, this book covers several aspects of biometrics from the perspective of recognizing individuals at a distance, in motion, and under a surveillance scenario.
While this trend deserves growing attention, a strong impact is expected in many applications of biometrics, including border control, surveillance in critical infrastructures, and ambient intelligence. This book presents a wide and in-depth view of the most advanced biometric technologies for recognition at a distance.
A multiview approach is presented to the reader, with each chapter being designed to cover a different biometric subject written by authors from different research institutions, and the objective of covering the subject from different perspectives. Current existing and under preparation inteational standards in biometrics are also presented.
Mostly biometric techniques which do not require a close contact with the user are considered.
This comprehensive, innovative, state-of-the-art volume is designed to form and inform professionals, young researchers, and graduate students about the most advanced biometric technologies.
Part I Advances in Remote Biometrics
Biometrics at a Distance: Issues, Challenges, and Prospects
Iris Recognition – Beyond One Meter
View Invariant Gait Recognition
Advanced Technologies for Touchless Fingerprint Recognition
Face Recognition in Humans and Machines
Face Recognition at a Distance: System Issues
Long-Range Facial Image Acquisition and Quality
A Review of Video-Based Face Recognition Algorithms
3D Face Recognition: Technology and Applications
Machine Leaing Techniques for Biometrics
Multibiometric Systems: Overview, Case Studies, and Open Issues
Ethics and Policy of Biometrics
Part II Selected Contributions from Students of the Inteational Summer School on Biometrics
Assessment of a Footstep Biometric Verification System
Keystroke Dynamics-Based Credential Hardening Systems
Detection of Singularities in Fingerprint Images Using Linear Phase Portraits
Frequency-Based Fingerprint Recognition
Biometric is a multidimensional problem which is aimed at understanding the uniqueness of human beings to facilitate recognition. In reality, the dimensionality not only comes from the data, as engineers and computer scientists would think of, but more from the intrinsic nature of the recognition process.We expect to be able to recognize people without errors (D1), at a distance of 1–20 meters (D2), in motion (D3), and even if unaware (D4). Obviously today’s commercial systems cannot cope with all four dimensions, and are never error free. Nonetheless, we believe that, in order to design 4D biometric systems, more efforts are required in the direction of dimensions D2, D3, and D
4. For these reasons, this book covers several aspects of biometrics from the perspective of recognizing individuals at a distance, in motion, and under a surveillance scenario.
While this trend deserves growing attention, a strong impact is expected in many applications of biometrics, including border control, surveillance in critical infrastructures, and ambient intelligence. This book presents a wide and in-depth view of the most advanced biometric technologies for recognition at a distance.
A multiview approach is presented to the reader, with each chapter being designed to cover a different biometric subject written by authors from different research institutions, and the objective of covering the subject from different perspectives. Current existing and under preparation inteational standards in biometrics are also presented.
Mostly biometric techniques which do not require a close contact with the user are considered.
This comprehensive, innovative, state-of-the-art volume is designed to form and inform professionals, young researchers, and graduate students about the most advanced biometric technologies.
Part I Advances in Remote Biometrics
Biometrics at a Distance: Issues, Challenges, and Prospects
Iris Recognition – Beyond One Meter
View Invariant Gait Recognition
Advanced Technologies for Touchless Fingerprint Recognition
Face Recognition in Humans and Machines
Face Recognition at a Distance: System Issues
Long-Range Facial Image Acquisition and Quality
A Review of Video-Based Face Recognition Algorithms
3D Face Recognition: Technology and Applications
Machine Leaing Techniques for Biometrics
Multibiometric Systems: Overview, Case Studies, and Open Issues
Ethics and Policy of Biometrics
Part II Selected Contributions from Students of the Inteational Summer School on Biometrics
Assessment of a Footstep Biometric Verification System
Keystroke Dynamics-Based Credential Hardening Systems
Detection of Singularities in Fingerprint Images Using Linear Phase Portraits
Frequency-Based Fingerprint Recognition