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Hand-Based Biometrics

Dept. of Computer Science (January 10, 2017)
1881









CONFERENCE / SYMPOSIUM : IAPR/IEEE Winter School on Biometrics

Biometric Data Analysis
Multimodal Biometrics with Auxiliary Information: Quality, User-specific, ...
2D and 3D Face Recognition
Human Identification via Gait Recognition
Hand-Based Biometrics
Recent Progress of Iris Recognition
Mobile Biometrics: Trends and Issues
Deep Learning in Face Analysis
Fingerprint Recognition
Machine Learning for Person Identification
Soft Biometrics and Continuous Authentication
Secure Scalable CCTV, Mobile, and Wearable Video Face Recognition
Biometric Indexing
Face Recognition System Security: Template Protection and Anti-spoofing
MAJOR SPEAKER : Zhang, David
LENGTH : 91 min.
ACCESS : Open to all
SUMMARY : 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. This presentation will introduce our research related to hand-based biometrics, including palmprint/fingerprint/knuckle/vein recognition. In particular, hand-based 3D biometrics and multispectral biometrics are presented, which has led to the extensive study of biometric technologies and the development of numerous algorithms, applications, and systems. Some useful achievements could be given to illustrate their effectiveness.  [Go to the full record in the library's catalogue]



  ●  Persistent link: https://hkbutube.lib.hkbu.edu.hk/st/display.php?bibno=b3976436
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