BIOMETRICS

Fall 2007



Course Information

Biometrics:  CS 4737 and CS 6998
Times: T TH  2:40 pm - 3:55 pm

Room: 415 CEPSR
Web page : http://www.cs.columbia.edu/~belhumeur/biometrics/biometrics.html
 


Instructor 

Prof. Peter N. Belhumeur
http://www.cs.columbia.edu/~belhumeur

Email: belhumeur@cs.columbia.edu
Office: 623 CEPSR
Phone: 212-939-7087

Office Hours: Mon 8:30-10:00am

 

TAs
Gurunandan Krishnan (Guru)
gkguru@cs.columbia.edu / ggk2103@columbia.edu
Office : 616 CEPSR 
Phone : 212-939-7090
Office Hours:  M 5:30PM - 6:30PM
                        W 4:30PM - 5:30PM.

 

Sujit Kuthirummal

sujit@cs.columbia.edu

Office: 618 CEPSR

Office Hours: M 4:30 pm - 5:30 pm

W 5:30 pm - 6:30 pm

 

 


Overview

The earliest known use of biometrics dates back to the 7th century during China's Tang Dynasty; during this period fingerprints were used to sign and validate contracts. Over the last century, biometrics -- the science for determining a person's identity by measuring his/her physiological characteristics -- has grown enormously. Technologies are being developed to verify or identify individuals based on measurements of the face, hand geometry, iris, retina, finger, ear, voice, speech, signature, lip motion, skin reflectance, DNA, and even body odor. In this course we will explore the latest advances in biometrics as well as the machine learning techniques behind them. Students will learn how these technologies work and how they are sometimes defeated. Grading will be based on homework assignments and a final project. There will be no midterm or final exam. Prerequisites: a background at the sophomore level in computer science, engineering, or like discipline.

 


Text

Pattern Classification, Duda, Hart, and Stork

Sections Covered: Chapter 1, 2.1—2.7, 3.1—3.8

Matlab, Student Version

 


Lectures

Introduction to Biometrics 

Introduction to Face Recogntion

Basic Probability + Introduction to Pattern Classification

Bayes Decision Theory

Notes on Matrix Differentiation

PCA and Eigenfaces

LDA and Fisherfaces

Hand Written Notes on Pattern Classification

Nonparametric Techniques

Plant Identification

Face Detection and Face Recognition


Topics

  • Pattern Recognition
  • Dynamic Signature
  • Fingerprints
  • Iris
  • Retina
  • Face
  • Speaker Recognition

 


 

Assignments 

 

Assignment 1  Due 9/27/07          PDF of Book Questions

 

Assignment 2  Due 10/9/07          PDF of Book Questions

 

Assignment 3  Due 10/18/07        Trainfile   Testfile

 

Assignment 4  Due 10/30/07        Trainfile   Testfile

 

Assignment 5  Due 11/15/07        Faces

 

Assignment 6                                  Trainfile   Testfile

 

 

Final Project            Due 11/15: Project Description  +  Due 11/29, 12/4 and 12/6: Project Presentations  + Due 12/10: Final Project Report

 

 

Additional Datasets: PIE WITH 2 POSES     COMPLETE UNPROCESSED PIE


 

Datasets

 

PID

 

BCFD raw jpgs

 

BCFD aligned and cropped  (compressed version)

 

BCFD aligned and cropped  (high-resolution 16 bit)

 


Grading

  • Homeworks + Labs: 50%
  • Project Presentation: 10%
  • Project : 40%