ΠΠ·Π΄Π°ΡΠ΅Π»ΡΡΡΠ²ΠΎ InTech, 2011, -274 pp.<div class="bb-sep"></div>Biometric authentication has been widely used for access control and security systems over the past few years. It is the study of the physiological (biometric) and behavioral (soft-biometric) traits of humans which are required to classify
Multispectral Biometrics: Systems and Applications
β Scribed by David Zhang, Zhenhua Guo, Yazhuo Gong (auth.)
- Publisher
- Springer International Publishing
- Year
- 2016
- Tongue
- English
- Leaves
- 232
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Describing several new biometric technologies, such as high-resolution fingerprint, finger-knuckle-print, multi-spectral backhand, 3D fingerprint, tongueprint, 3D ear, and multi-spectral iris recognition technologies, this book analyzes a number of efficient feature extraction, matching and fusion algorithms and how potential systems have been developed. Focusing on how to develop new biometric technologies based on the requirements of applications, and how to design efficient algorithms to deliver better performance, the work is based on the authorβs research with experimental results under different challenging conditions described in the text. The book offers a valuable resource for researchers, professionals and postgraduate students working in the fields of computer vision, pattern recognition, biometrics, and security applications, amongst others.
β¦ Table of Contents
Front Matter....Pages i-xi
Front Matter....Pages 1-1
Overview....Pages 3-22
Multispectral Biometrics Systems....Pages 23-35
Front Matter....Pages 37-37
Multispectral Iris Acquisition System....Pages 39-62
Feature Band Selection for Multispectral Iris Recognition....Pages 63-88
The Prototype Design of Multispectral Iris Recognition System....Pages 89-114
Front Matter....Pages 115-115
An Online System of Multispectral Palmprint Verification....Pages 117-137
Empirical Study of Light Source Selection for Palmprint Recognition....Pages 139-151
Feature Band Selection for Online Multispectral Palmprint Recognition....Pages 153-162
Front Matter....Pages 163-163
Dorsal Hand Recognition....Pages 165-186
Multiple Band Selection of Multispectral Dorsal Hand....Pages 187-206
Comparison of Palm and Dorsal Hand Recognition....Pages 207-220
Front Matter....Pages 221-221
Book Review and Future Work....Pages 223-226
Back Matter....Pages 227-229
β¦ Subjects
Signal, Image and Speech Processing; Biometrics; Biomedical Engineering
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