Advanced Biometrics
A.Y. 2018/2019
Learning objectives
The goal of this course is to understand the theory and the design of biometric systems, the best practice in the deployment and privacy compliant biometrics with specific reference to classical systems, behavioral biometrics, mobile systems, continuous authentication methods, profiling and recent trends.
Expected learning outcomes
Understanding the theory of biometric systems, the best practices in the deployment and the application of recent methods and approaches.
Lesson period: First semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Responsible
Lesson period
First semester
Course syllabus
Main topics covered:
· Fundamentals of the theory of biometrics;
· Complements of image processing for biometrics;
· Complements of signal processing for biometrics;
· Complements of pattern recognition for biometrics;
· Measurement and statistical estimation of the main parameters of biometric systems;
· Estimation and application of the quality of the biometrics traits;
· Complements of facial biometrics;
· Contact and contactless fingerprint and palm biometrics;
· Complements of voice biometrics;
· Behavioral biometrics;
· Soft biometrics and unconstrained biometric systems;
· Fusion and multimodal biometrics;
· Crypto-biometric system and cancelable biometrics;
· Biometric systems for mobile devices;
· Continuous authentication for monomodal and multimodal systems;
· Biometrics for ambient intelligence;
· Advanced border control systems;
· Biometrics systems in surveillance;
· Recent trends in biometric systems.
· Fundamentals of the theory of biometrics;
· Complements of image processing for biometrics;
· Complements of signal processing for biometrics;
· Complements of pattern recognition for biometrics;
· Measurement and statistical estimation of the main parameters of biometric systems;
· Estimation and application of the quality of the biometrics traits;
· Complements of facial biometrics;
· Contact and contactless fingerprint and palm biometrics;
· Complements of voice biometrics;
· Behavioral biometrics;
· Soft biometrics and unconstrained biometric systems;
· Fusion and multimodal biometrics;
· Crypto-biometric system and cancelable biometrics;
· Biometric systems for mobile devices;
· Continuous authentication for monomodal and multimodal systems;
· Biometrics for ambient intelligence;
· Advanced border control systems;
· Biometrics systems in surveillance;
· Recent trends in biometric systems.
Professor(s)
Reception:
By appointment (via email)
Computer Science Department, Via Celoria 18 - 20133 Milano (MI), Italy