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Multispectral Biometrics
Details
Maximizes reader insights into new biometric technologies such as high- resolution fingerprint, finger-knuckle-print and multi-spectral iris recognition technologies Analyzes how these technologies have been implemented in different biometric systems Highlights experimental results gleaned under challenging conditions Includes supplementary material: sn.pub/extras
Autorentext
David Zhang graduated in Computer Science from Peking University. He received a MSc and PhD in Computer Science from the Harbin Institute of Technology (HIT). From 1986 to 1988 he was a Postdoctoral Fellow at Tsinghua University and then an Associate Professor at the Academia Sinica, Beijing. In 1994 he received his second PhD in Electrical and Computer Engineering from the University of Waterloo, Ontario, Canada. Currently, he is a Chair Professor at the Hong Kong Polytechnic University where he is the Founding Director of the Biometrics Technology Centre (UGC/CRC) supported by the Hong Kong SAR Government in 1998. He also serves as Visiting Chair Professor in Tsinghua University and HIT, and Adjunct Professor in Shanghai Jiao Tong University, Peking University, National University of Defense Technology and the University of Waterloo.
He is the Founder and Editor-in-Chief, International Journal of Image and Graphics (IJIG); Book Editor, Springer International Series on Biometrics (KISB); Organizer, the first International Conference on Biometrics Authentication (ICBA); Associate Editor of more than ten international journals including IEEE Transactions; Technical Committee Chair of IEEE SMC and the author of more thanSpeaker of the IEEE Computer Society, and a Fellow of both IEEE and IAPR.
Zusammenfassung
Inhalt
Multimodal Fusion for Robust Identity Authentication: Role of Liveness Checks.- Multimodal Biometric Person Recognition System Based on Multi-Spectral Palmprint Features Using Fusion of Wavelet Representations.- Audio-Visual Biometrics and Forgery.- Face and ECG Based Multi-Modal Biometric Authentication.- Biometrical Fusion Input Statistical Distribution.- Normalization of Infrared Facial Images under Variant Ambient Temperatures.- Use of Spectral Biometrics for Aliveness Detection.- A Contactless Biometric System Using Palm Print and Palm Vein Features.- Liveness Detection in Biometrics.- Fingerprint Recognition.- A Gender Detection Approach.- Improving Iris Recognition Performance Using Quality Measures.- Application of LCS Algorithm to Authenticate Users within Their Mobile Phone Through In-Air Signatures.- Performance Comparison of Principal Component Analysis-Based Face Recognition in Color Space.- Block Coding Schemes Designed for Biometric Authentication.- Perceived Age Estimation from Face Images.- Cell Biometrics Based on Bio-Impedance Measurements.- Hand Biometrics in Mobile Dices.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783319224848
- Genre Information Technology
- Auflage 1st ed. 2015
- Lesemotiv Verstehen
- Anzahl Seiten 229
- Größe H17mm x B160mm x T241mm
- Jahr 2015
- EAN 9783319224848
- Format Fester Einband
- ISBN 978-3-319-22484-8
- Titel Multispectral Biometrics
- Autor David Zhang , Zhenhua Guo , Yazhuo Gong
- Untertitel Systems and Applications
- Gewicht 479g
- Herausgeber Springer International Publishing
- Sprache Englisch