back to Biometrics (CSE 40537/60537)

Materials available here were prepared for students of the University of Notre Dame attending this course in Spring 2017. If you find these slides (or their elements) helpful in your work, please provide the following reference:

"Adam Czajka, Biometrics (CSE 40537/60537), Lecture Notes, Spring 2017, available online http://zbum.ia.pw.edu.pl/EN/node/65"

Course material

Example large-scale application: biometric passports
What is a biometric passport? Biometric data in e-passports. Structure and security of e-passports, passive authentication, BAC, EAC. (updated: April 27, 2017 by A.Czajka)

Face recognition
Face alignment (3D pose, illumination). Hand-crafted features (Gabor, SIFT, SURF, HOG, LBP). Feature learning, deep structures, Convolutional Neural Networks. (updated: April 27, 2017 by A.Czajka)

Statistical evaluation of biometrics
Evaluation in biometrics, modeling of uncertainty. Evaluation of data acquisition, enrollment and authentication processes. Technology, scenario and operational evaluations. Use of statistical estimators in biometrics, system-level error rates. Statistical hypothesis testing and its relation to biometric errors. ROC, DET and CMC curves. Selected good practices in biometric data usage. (updated: April 24, 2017 by A.Czajka)

Security of biometrics
Biometric system: components, enrollment, verification, identification. Volnurability of system components. Presentation attacks and their detection, subversive vs. suspicious actions, types of presentation attacks. Security of biometric sensors, fingerprint liveness detection, iris liveness detection. Security of biometric transmission channels. Synthetic biometric data, inverse biometrics. Security of data carriers, biometric smart cards. (updated: April 18, 2017 by A.Czajka)

Speaker recognition
Short history, speaker recognition variants. Pre-processing of voice signals, filtering, detection, representation. Speaker features, formants, Lucier's experiment. Feature extraction: auto-regressive models, independent component analysis (ICA), mel-scale, homomorphic deconvolution, cepstral features. (updated: March 28, 2017 by A.Czajka)

Handwritten signatures
Definition of a biometric signature. Signature acquisition. Signature data processing. Global features, classification. Dynamic time warping. (updated: March 7, 2017 by A.Czajka)

Hand biometrics
Hand-related modes. Palm print. Hand geometry. Hand vein recognition. Finger veins. Hand temperature. (updated: Feb. 23, 2017 by A.Czajka)

Iris recognition
Iris genesis and its structure. Brief history of iris recognition. Iris image capture and representation. Iris image segmentation. Building the iris code. Iris code matching, compensation for eye rotation. Statistical properties of the iris code, excluding fragile bits. (updated: Feb. 23, 2017 by A.Czajka)

Fingerprints recognition
Historical background. Level 1 fingerprint features: core and singular points, level 2 features: minutiae, level 3 features. Fingerprint image capture, capacity sensors, optical sensors, 3D imaging. Fingerprint image pre-processing and segmentation. Recognition methods. Minutiae detection. Minutiae matching as a point-matching problem. (updated: Jan. 23, 2017 by A.Czajka)

What is biometrics?
Definition of biometrics. Biometric vocabulary, sample, feature, template. Biometric modes. Expected properties of biometrics. Brief history. Biometric system, system errors and decision making (updated: Jan. 17, 2017 by A.Czajka)