BIOMETRIC TECHNOLOGIES

CPSC 697/599.97 ARCHIVED WEB SITE

Course Announcements:

Welcome to CPSC 697/599.97

Welcome to the class!

Quiz takes place as schedules in-class, closed book, on February 28th during regular class hours in the classroom.

Assignment 1 for CPSC 599 and Asmt 1 for 697 (different) are now posted.

Assignment 2 for CPSC 599 and Asmt 2 for 697 (different) are now posted.

Assignment 3 for CPSC 599 and Asmt 3 for 697 (different) are now posted.

NOTE: Final percentage grades will not be rounded up to the nearest whole percentage point.

 

 

Contents

bulletContact information
bulletTextbook and recommended reading
bulletCourse information
bulletCourse outline
bulletCourse evaluation
bulletProject
bulletUseful links

Course Textbooks

1.  Multimodal Biometrics and Intelligent Image Processing for Security Systems
M. Gavrilova and M. Monwar, IGI, 2013

2. Image Pattern Recognition: Synthesis and Analysis in Biometrics
S. Yanushkevich, M. Gavrilova, P. Wang and S. Srihari (Eds), World Scientific Publishers, 2007

3. Biometric Systems: Technology, Design and Performance Evaluation
Editors: J. Wayman, A. Jain, D. Maltoni and D. Maio, Springer, 2005

 

 Additional reading:

3. Handbook of Face Recognition
Editors: Stan Z. Li and Anil K. Jain Springer, New York, 2005

4. Handbook of Multibiometrics (International Series on Biometrics)
Arun A. Ross, Karthik Nandakumar, and Anil K. Jain, Hardcover - May, 2006

5.Computational geometry: Algorithms and Applications
M. de Berg, M. van Kreveld, M. Overmars, O. Schwarzkopf, Springer, 1997

 

Course Description

      Biometric Technologies is one of the rapidly growing areas of computer science, concerned with representation, storage, matching, synthesis and visualization of biometric information. Tremendous advance has been achieved over the last few years in both fundamental theoretical development of fundamental algorithms for biometric identification, matching and synthesis, and in biometric hardware and software production.

    The course objective is thus to familiarize students with the recent developments, encompassing new discoveries in the areas of information representation, image processing, database system design, surface modeling and visualization. Traditional and emerging technologies for fingerprint matching, face reconstruction, emotion animation, iris synthesis, voice recognition, thermogram-based biometrics, and fusion methods will be studies in the course.

Biometric Technologies laboratory equipment and software will be used to illustrate some of the practical applications. Impact of these developments on the society, privacy and ethics will also be considered.
 

Objectives and Outcomes

The objective in offering this course is to study advanced algorithms in the area of applied sciences, computer graphics and biometric technologies. The course introduces theoretical bases for studying biometrics, with particular focus on algorithmic foundations, computer graphics techniques, topological properties of the biometric data, information representation, data storage and data search, comparison and matching.

The methods and techniques learned in the course will be illustrated on the examples of solving verification, identification, and synthesis problems for a variety of biometrics. Biometrics such as fingerprint, face, eye, ear, palm, gait, voice, signature and others will be discussed.

Particular interest will be on hardware devices and their rapid development, as well as the variety of specific software developed for particular agencies (government, academia, banks, individuals etc.). Impact of these developments on the society, privacy and ethics will also be considered.


The formal component of the course will involve a research project, writing a research paper, and making a presentation on a subject.

Course Outline

Week 1

bullet

 Introduction to Biometrics. Text 1 Ch 1

bullet

 Objects of Study in  Biometrics, Biometric Characteristics and Biometric Systems Text 1 Ch1
 

Week 2

bullet

Biometric Types Text 1, Ch3

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Biometrics Hardware  Text 2 Ch 2 

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Historical perspective Text 3

 

Week 3

bullet

  Algorithmic Foundations of Biometrics  Text 5

bullet

  Fingerprint recognition systems. Text 3 Ch 2-5, Text 2 Ch 2  

bullet

  Fingerprint and hand recognition systems. Text 2 Ch 2, Text 1 Hand geometry 

bullet

Feature extraction and matching. Methodology and applications. Text 2

Week 4

bulletFace recognition
bulletFace modeling -pre-processing Ch1, Ch2 Text 3; Ch 4 Text 2, Text 2
bullet Face Recognition Solutions - NeoFace, OpenCL face detection, Real-Time Adaptive 3D Face Tracking and Eye Gaze Estimation
bullet 3D Face Tracking Without Markers,  3D head tracking, Robust Face tracking using Lucas-Kanade optical flow    
bulletHead Tracking for Desktop VR Displays using the WiiRemote, Olaworks : Real Time Head Tracking 3D FR
bulletFaceGen softare
bullet

PCA

Week 5   
bulletBiometric review, Face synthesis
bullet SIGGRAPH 2011 - A Morphable Model for the Synthesis of 3D Faces, Create 3D Face from a Single Photo, Realtime Performance-Based Facial Animation (SIGGRAPH 2011)  
bullet

Face modeling under varied conditions

bullet

Facial synthesis, Facial expression modeling Ch 3, Ch 4, Ch 5 Text 3; Ch 4 Text 2

 

Week 6 READING WEEK

Week 7

bulletIris and Ear biometrics
bulletTuesday, February 28th
bulletQuiz preparation guideline is posted here.

 Week 8

bullet

Behavioral biometrics. Signature recognition. Voice recognition and Speaker identification Text 2 Ch 4, Text 1
Credit Card FAKE SIGNATURE Experiment

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Other biometrics (DNA, EEG). Measuring Brain Waves with EEG

Week 9

bullet

Behavioral biometrics. Text 2 Ch 4, Text 1  GAIT

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Context-based, KINECT based GAIT recognition

Week 10

bullet

Multi-modal biometrics and Information fusion

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Machine Learning in biometric research

Week 11

bulletCPSC 599 Assignment 3 and MATLAB lecture
bulletBiometric aesthetics and machine learning

Week 12

bulletEthics, privacy and security issues related to biometrics. Text 2 Ch 12

Title: "Technocreep and Biometrics" T Keenan video Hackers Conference Las Vegas Link to T. Keenan video at Hackers Conference 2013 in Las Vegas


Week 13

bulletTuesday April 4th Future directions and trends and CPSC 599 Participation component grading based on Invited Lecture attendance (written summary, by e-mail)
bulletThursday April 6th CPSC 599 Asmt 3 part III software presentations and CPSC 599 Participation component grading (written feedback, in class)
bulletTuesday April 11th CPSC 697 Term project presentations and CPSC 599 Participation component grading (oral questions, in class)

 

Course Evaluation CPSC 599.97

Three components are included in the determination of the course grade.

Component Component Weight
Assignments 45%
Presentations 30%
In-class Quiz 25%

Assignments can be in the form of a written take home assignment, a research paper analysis, or a problem to solve over some period of time. Quizzes can be given in class or to take home. Two presentations in the course relate to assignment and final project presentation.

Late Submission Policy

As a rule, late submission will be accepted up to two or three days after assignment deadline, with a penalty of 10% per day of the overall grade possible for this assignment. Special considerations will be given to extenuating circumstances upon advance notification.

Collaboration

Students are encouraged to discuss the assignments and methods of solution with other students. All work that is handed in as a solution to the assignment must be original work of the student. Any student found copying all or part of an assignment from another student or another source without proper acknowledgement of the copyright will face consequences outlined in Plagiarism/Cheating/Other Academic Misconduct sections of the University calendar.

CPSC 599.97 Deadlines

The list of CPSC 599.97 course deadlines is below.

Component Due Date Component Weight
Assignment 1

CPSC 599 Assignment 1 Presentation.doc

Monday, February 6th, 9:00 pm

 

15%
Quiz Tuesday, February 28th, closed book, in-class 25%
599_asmt2_PCA.docx

Assignment 2 PCA tutorial

 

Extended:

Wednesday, March 1st, 9:00 pm

10%
Assignment 3

Asmt 3 marking

Asmt 3 presentation

Friday, March 31st, 9:00 pm

Test_data_unlabeled     Train_data_labeled

April 6-11, 2017

15%
In-class activities Ongoing 15%
Presentations Asmt 1 Presentation - 10% Feb 9 Thursday in class

Asmt 3 Presentation  - April 6-11

 

20%

Assignments can be in the form of a written take home assignment, a research paper analysis, or a problem to solve over some period of time. Quizzes can be given in class or to take home. Two presentations in the course relate to term paper and final project presentation.

CPSC 599.97 Assignments

Assignments and Quizzes are essential part of this course and intended to help students to develop valuable research skills, such as ability to solve problems using knowledge obtained from the course, ability to critically analyze methods and techniques, ability to compare and contrast different solutions, ability to write a critique on a paper or a scientific article, and ability to compare different approaches to the same problem.

SUBMISSION: By e-mail to your TA

Assignment 1 links

Sample presentation for Asmt 1

Sample poster

Assignment 2 links

PCA tutorial

Assignment 3 links

Freeware FingerprintRecognition Software

FaceGen Software

Fingerprint Synthesis Software

 

 

Course Evaluation CPSC 697

Three components are included in the determination of the course grade.

Component Component Weight
Assignments 30%
Term project 50%
Presentations/quiz 20%

Specifically, there will be three assignments and one take home quiz in the course.

Assignments can be in the form of a written take home assignment, a research paper analysis, or a problem to solve over some period of time. Quizzes can be given in class or to take home. Two presentations in the course relate to assignment and final project presentation.

 

CPSC 697 Biometric Assignments

Assignment 1: 10%

Assignment 1 Presentation: 10%

Assignment 3: 10%

Take Home Quiz: 10%

Final project presentation 10%

Interim report 15%

Final report 25%

This project allows students to perform an extensive literature review and in-depth methodology analysis with particular emphasis on the form in which the results of the research are reported.

The project should present a comprehensive literature review on one of the topics of choice by student  and should be written in the form of a research report of 20 to 30 pages, article with title, abstract, introduction, background, method description and comparison, analysis and conclusion and references.

 

CPSC 697 Project

Project Requirements (all components)

Abstract marking scheme

Interim report marking scheme

Final report marking scheme

Individual research project is an essential component of this course. Students are expected to select a topic of research project from the course outline, which can include theoretical research in the area of image processing, computer graphics, statistics, analysis of algorithm performance, or applied studies (including development and implementation of a biometric system or a specific algorithm).

Selected project topics from previous years:

bulletMinutia-based Fingerprint Matching using Linear Programming
bullet3D face Reconstruction based on morphable model
bulletSecure e-mail with fingerprint recognition
bulletFingerprint spoofing
bulletCancelable biometrics
bulletBiometric fusion
bulletGait recognition
bulletIris synthesis using multiresolution approach
bulletMultimodal biometric and fusion schemas
bulletEvaluating a new hashing scheme for hand signatures
bulletReliability of palm print biometrics

Useful links

Biometric Technology Lab

BTLab, University of Calgary

General Biometric Bibliography

Biometric bibliography

Biometric Conferences

Biometric Software

bullet FaceGen expression software
bullet SFinGe fingerprint synthesis software
bullet Fake voice software

Automated Fingerprint Identification System (AFIS)

Developing Fingerprints with Super Glue

iPhone 5S Touch ID Fingerprint Hack & iOS 7 Passcode Bypass - Major Security Flaws

 Useful Books

bullet

Handbook of Face Recognition
Editors: Stan Z. Li and Anil K. Jain Springer, New York, 2005

bullet

Handbook of Multibiometrics (International Series on Biometrics)
Arun A. Ross, Karthik Nandakumar, and Anil K. Jain, Hardcover - May, 2006

bullet

Automatic Fingerprint Recognition Systems
N. Ratha and R. Bolle (Eds.), Springer, October 2003.

bullet

Guide to Biometrics
R. Bolle, J. Connell, S. Pankanti, N. Ratha and A. Senior, Springer, October 2003.

bullet

Handbook of Fingerprint Recognition
D. Maltoni, D. Maio, A.K. Jain, and S. Prabhakar, Springer 2003

bullet

Pattern Recognition. From Classical to Modern Approaches
Edited by Sankar K Pal & Amita Pal, World Scientific Publishers, 2001

Conferences and references lists

bullet

Vision/biometric research list http://iris.usc.edu/Vision-Notes/bibliography/contents.html

bullet

The Biometric Consortium website http://www.biometrics.org/html/meetings.html

bullet

Findbiometrics web site http://www.findbiometrics.com/events.php

bullet

Downloadable list of biometric events (doc file)

Conferences

bullet

ICPR

bullet

International Biometric Conference (IBC)

bullet

The Biometric Consortium Conference

bullet

7th IEEE International Conference, Automatic Face and Gesture Recognition

bullet

ICBA International Conference on Biometric Authentication

bullet

The ACM SIGMM workshop on Biometrics methods and applications

bullet

Biometrics Technology for Human Identification

bullet

IEEE International Conference, Automatic Face and Gesture Recognition

bullet

ID World International Congress for Automatic ID

bullet

SPIE International Defense and Security Symposium, Biometrics Technology for Human Identification

bullet

International Behavioral & Medical Biometrics Society

bullet

International Conference on Biometrics

bullet

Intl. Conf. on Audio- and Video-Based Biometric Person Authentication

 

Journals

1.      International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI)

2.       IEEE Transactions on Pattern Analysis and Machine Intelligence

3.       Transactions on Computational Science, Springer

4.       IEEE Transactions on Biometrics

Biometric laboratories and evaluation groups

bullet

The Fingerprint Vendor Technology Evaluation (FpVTE)

bullet

Face Recognition Vendor Test 2002 (FRVT)

bullet

Signal Processing Institute, Swiss Federal Institute of Technology web site

bullet

Biometric System Laboratory, University of Bologna

bullet

Biometrics Institute Ltd.

bullet

TBS: 3D Fingerprint matcher

bullet

Biometrics Research at MSU

bullet

Biometrics Technology Centre

bullet

The research group of Sargur N. Srihari

bullet

IBM Research

bullet

Microsoft Research

bullet

The Center for Biometrics and Security Research (CBSR)

bullet

Center for Unified Biometrics and Sensors, University at Buffalo, The State University of New York

bullet

3Detection Labs

bullet

Biometric Information processing Group, China

bullet

Face Tracking MSU

 

Additional materials

 

bullet Optical Illusion Site - Green Dragon
bulletOptical Illusions
bulletVirtual Words research
bulletNew task environment research
bulletAlgorithms animation
bulletFortune sweep-plane animation
bulletAlgorithms
bulletOptimization
bulletHistory of Mathematics
bulletDictionary of algorithms, data structures and problems
bulletOpenGL Documentation
bulletOpenGL Tutorial
bullet Oracle Spatial Software
bulletCAVE Visualization
bullet Bill Gates last day in the office
bulletGreat Principles of Computing web site
bulletIdentical twins palmprints
bulletFinding DNA in human motion
bulletDNA basics lecture

 

This page was last updated on 01/01/2022

Department of Computer Science
University of Calgary
2500 University Dr. N.W.
Calgary, AB, T2N1N4
Office: MS 269
Phone: (403) 220-5105
Fax: (403) 284-4707