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Mobile Biometrics: Trends and Issues

Dept. of Computer Science (January 11, 2017)

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
LENGTH : 92 min.
ACCESS : Open to all
SUMMARY : Mobile biometrics is useful when a handheld or movable identifying solution is needed. More recently, smart phones provide built-in biometric solutions for unlocking a phone and extend their usages in FinTech, IoT and Healthcares, In this lecture, trends on mobile biometrics are introduced with some empirical works in implementing multiple mobile biometrics. Mobile iris and fingerprint recognition will be discussed more in detail, and empirical works on phone include touchless fingerprint recognition, iris recognition and touchless palmprint recognition.  [Go to the full record in the library's catalogue]

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