CourseMaterial < SB

---++ *Course contents at a glance*

The term *biometrics* is derived from the Greek words _bios_ (life) and _métron_ (measure). 

*Biometrics* refers to the study and use of methods to detect and measure the characteristics of living organisms and draw comparative classifications and laws. 

*Biometrics* finds applications in biology, medicine, genetics, in the agricultural and forestry sciences, environmental science and other related fields.

The modern meaning of the term *biometrics* used in Computer Science, and consequently of the term *biometric system*, explicitly mainly refers to the automatic *identification* or *verification* of the identity of a person based on physical or behavioral characteristics. 

The course provides basic knowledge and skills necessary for the design and development of automated systems for the recognition of people on the based biometric features.

*Important note*: *Proficiency in programming is required to be able to carry out the final project*

---++ *The course at a glance*

Introduction to biometric systems

Performance evaluation 

Reliability of recognition results

Face detection 

Face recognition 2D and 3D

Ear recognition

Iris recognition

Basics on fingerprints recognition

Other biometrics

Multibiometric systems


*Reference stuff*


A.K. Jain, P. Flynn, A.A. Ross, Handbook of Biometrics, Springer, 2008.

H. Wechsler, Reliable Face Recognition Methods: System Design, Implementation and Evaluation, Springer, 2007.

A.Ross, K. Nandakumar; A.K. Jain. Handbook of Multibiometrics. Springer, 2006


---++ *Course slides*

(Notice that each "lesson" below spans more classes)


[[https://drive.google.com/file/d/0B-4exWJj0L7RMjNHdjFXRDBUVFU/view?usp=sharing][Lesson 0 - Course Presentation]]

[[https://drive.google.com/file/d/0B-4exWJj0L7RMkdqU0pZYmkzZGs/view?usp=sharing][Lesson 1 - Introduction to Biometric Systems]]

[[https://drive.google.com/file/d/0B-4exWJj0L7ReHVoTjc1MHo5NW8/view?usp=sharing][Lesson 2 - Performance Evaluation]]

[[https://drive.google.com/file/d/0B-4exWJj0L7RQVVTdUppY3EzbEk/view?usp=sharing][Lesson 2bis - More on performance evaluation - version updated on 13 of October]]

[[https://drive.google.com/file/d/0B-4exWJj0L7RSHFwRnA2UkQwSHc/view?usp=sharing][Lesson 3 - Response reliability]]

[[https://drive.google.com/file/d/0B-4exWJj0L7RLV82eURHbGZIWm8/view?usp=sharing][Lesson 4 - Introduction to face biometrics and to face localization]]

[[https://drive.google.com/file/d/0B-4exWJj0L7RYzczUVFZMGFyQ3M/view?usp=sharing][Lesson 5 - Face localization: two example approaches]]

[[https://drive.google.com/file/d/0B-4exWJj0L7RLW1oOXlxSHhtMm8/view?usp=sharing][Lesson 6 - Face recognition in 2D]]

[[https://drive.google.com/file/d/0B-4exWJj0L7RZW5maHhzRl9hX2c/view?usp=sharing][Lesson 7 - Face recognition in 3D]]

[[https://drive.google.com/file/d/0B-4exWJj0L7Rb3gzMkJKbWtPcEE/view?usp=sharinging][Lesson 8 - Face recognition: evaluation]]

[[https://drive.google.com/file/d/0B-4exWJj0L7RUXVfcm5NYmQtVXc/view?usp=sharing][Lesson 9 - Ear recognition]]

[[https://drive.google.com/file/d/0B-4exWJj0L7RVDZLX213aDRybEU/view?usp=sharing][Lesson 10 - Iris recognition: ]]

[[https://drive.google.com/file/d/0B-4exWJj0L7RTmg0MUxMUG0zeUU/view?usp=sharing][Lesson 11 - Fingerprint recognition]]

[[https://drive.google.com/file/d/0B-4exWJj0L7RNThyOExSWFVYNG8/view?usp=sharing][Lesson 12 - Multibiometric systems]]

[[https://drive.google.com/file/d/0B-4exWJj0L7Ra1pGZ05jU3ZYZ3c/view?usp=sharing][Lesson 13 - Example Solutions (what my group works on)]]
This topic: SB > WebHome > CourseMaterial
Topic revision: r13 - 2017-03-25 - MariaDeMarsico