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Electrical and Computer Engineering Department

EE435 – BIOMETRIC SIGNAL PROCESSING

biometric signal

Description

In this course, students will evaluate the performance of state-of-the-art systems for identifying an individual through biometric signals (iris scans, facial parameters, fingerprints, voice prints). Individual design projects will be performed that develop and analyze alternative algorithms for identification, or that combine two systems into a multi-sensor identification system. Prereq: EE432 or approval of chair.

Spring 2014 Section 3111

Schedule

Room

Lecture

MWF

Ri057

Lab

THU

Ri057


Course Materials

Syllabus   

Link to class schedule

Course Policy

Policies for grading, homework, and projects

Projects

Link to laboratory assignments

Homework

Link to homework assignments

Quizzes

Link to quizzes

Exams

Link to exams and exam files

Resources

Links to web based resources

Objectives

Objectives of the course

In-Class Exercises

Images and code to use in class

MATLAB Functions

Important MATLAB functions



USNA Center for Biometric Signal Processing

Assoc. Prof. Hau Ngo (Director)

Office:   Maury 227

Phone:   3-6179

Email:    ngo@usna.edu

Prof.  Robert W. Ives

Office:   Maury 223

Phone:   3-6176

Email:    ives@usna.edu

Assoc. Prof. Randy Broussard (Assoc. Director)

Office : Maury 232

Phone: 3-6131

Email:  broussar@usna.edu

Assoc. Prof. Ryan Rakvic 

Office:   Maury 212

Phone:   3-6166

Email:    rakvic@usna.edu

Mr. Bill Stanton

Office: Rickover 021

Phone: 3-3567

Email: stanton@usna.edu

 

 

 

Course Website: http://www.usna.edu/EE/ee435/

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