arrow Home arrow News arrow Society Activities arrow Short Course on Biometrics
Search
PREMIA
Home
News
Events and Activities
Downloads
Web Links
Link to PREMIA!
Call for Papers
Job Openings Job Openings
Membership
Member's Area
Registration with ROS
Society Constitution
Online Registration Guide
IAPR Newsletter
PREMIA Newsletter
Contact The Committee Board
Advertisement

Short Course on Biometrics PDF Print E-mail
Tuesday, 17 April 2007
Pattern Recognition and Machine Intelligence Association (PREMIA) is organizing a short course on Biometrics, sponsored by TechSource Systems Pte Ltd.

A Short Course on Biometrics organized by

Pattern Recognition and Machine Intelligence Association (PREMIA)

Sponsored by TechSource Systems Pte Ltd

Module 1: Understanding Biometrics
23 May 2007 (Wed) 9.00 am – 5.00 pm

Seminar Room 4, SOC1/612, School of Computing, NUS

Security has all along been important in business, government, the military, and in everyday life. Nowadays it is paramount. More and more, biometrics is being used for security purposes. Technologies like face recognition, fingerprint scans, iris recognition are increasingly being deployed because they offer greater convenience, speed, and accuracy.

But how do they work? Do they really measure up? What if they fail?

This one-day module examines these issues, and more, with the aim of providing a good layman understanding of biometrics. The intended audience: business managers, IT end-users, real estate agents, facility managers, insurers, security professionals and anyone wanting a better understanding of biometrics.

Topics covered:
  • Identification/verification methods
  • Biometrics: what is it? what are the different types?
  • Typical biometrics system: architecture and processes
  • Comparing different types of biometrics: face, voice, fingerprint, iris, etc.
  • Application areas: access control, surveillance, criminal investigation, etc.
  • Privacy issues: public perception, legal regulations
  • Defeating biometrics: how to thwart biometrics systems
Objectives:
At the end of the course, you will be able to:
  • Explain the different identification methods
  • Describe the different types of biometrics
  • Understand the process of performing a biometrics verification
  • List the strengths/weaknesses of different biometrics
  • Identify application areas in which biometrics may be deployed
  • Appreciate the social issues surrounding biometrics
  • Defend against common attacks
Prerequisites:

No specific prerequisites. This is a general, non-technical course.

Course Instructor: Dr. Terence Sim
About the Instructor:

Dr. Terence Sim is Assistant Professor at the School of Computing, National University of Singapore. His research is primarily in face recognition, machine learning, pattern recognition, as well as biometrics. His work in these areas has given him deep insights into the capabilities and weaknesses of biometric systems. Dr. Sim is Chairman of the Workgroup on Cross-Jurisdictional and Societal Aspects of the Biometrics Technical Committee (part of the IT Standards Committee) which recommends industry standards for biometrics systems in Singapore. He also sits in the Security and Privacy Standards Technical Committee, as well as a member of the Pattern Recognition and Machine Intelligence Association of Singapore, affiliated with the International Association of Pattern Recognition. Dr. Sim obtained his Ph.D. from Carnegie Mellon University, M.Sc from Stanford University, and S.B. from the Massachusetts Institute of Technology. www.comp.nus.edu.sg/~tsim

Tentative Schedule for Module 1

Time
Topic
0900 – 1030
Introduction
Self-assessment 1
Identification vs. verification
Types of biometrics
Architecture and processes
1030 – 1045
Break
1045 – 1200
Measuring biometrics: 7 Criteria
Application areas
1200 – 1330
Lunch
1330 – 1500
Close-up: face recognition
Demo
Defeating biometrics
1500 – 1515
Break
1515 - 1700
Privacy issues
Survey
Self-assessment 2

Module 2: Biometrics in Depth

24 & 25 May (Thu & Fri) 9.00 am – 5.00 pm

PC Lab 2, SOC1/815, School of Computing, NUS

This two-day module explains the details of biometrics technologies. It begins with the fundamental topic that underlies all types of biometrics, i.e. pattern recognition, and then explores in depth several types of biometrics, namely, face recognition, fingerprint recognition, and voice recognition. The course will also cover an advanced topic: fusion of multimodal biometrics.

Intended audience: managers and engineers who wish to understand the bits and bytes of biometrics, or who wish to implement/customize their own biometrics solution.

Topics covered:
  • Introduction to pattern recognition
  • Basics of image processing
  • Basics of audio processing
  • Face recognition in depth
  • Fingerprint recognition in depth
  • Voice recognition in depth
  • Multimodal biometrics fusion
Objectives:
At the end of the course, you will be able to:
  • Explain pattern recognition concepts and algorithms
  • Understand the specific details in face, fingerprint, and voice recognition
  • Describe the common fusion techniques
  • Use Matlab for pattern recognition
Prerequisites:
  • Basic understanding of biometrics (such as those covered in the course Understanding Biometrics).
  • Basic Matlab programming skills.
  • Basic knowledge of linear algebra, probability and statistics, and calculus.
Course Instructors:

· Dr. Terence Sim, School of Computing, National University of Singapore

· Dr. Yau Wei Yun, Institute for Infocomm Research

· Dr. Li Haizhou, Institute for Infocomm Research

About the Instructors:

Dr. Terence Sim (see Dr. Sim’s biodata in the description for “Understanding Biometrics”)

Dr. Yau Wei Yun received his B.Eng (Electrical) from the National University of Singapore (1992), the M.Eng degree in biomedical image processing (1995) and PhD degree in computer vision (1999) from the Nanyang Technological University. From 1997 to 2002, he was a Research Engineer and then Program Manager at the Centre for Signal Processing, Singapore leading the research and development effort in biometrics signal processing. His team won the top 3 positions in both speed and accuracy at the international Fingerprint Verification Competition 2000 (FVC2000). Wei-Yun served as the Program Director of the Biometrics Enabled Mobile Commerce (BEAM) Consortium from 2001 to 2002. Currently, he holds concurrent position as Assistant Professor at the Nanyang Technological University and as Senior Scientist with the Institute for Infocomm Research, leading the research in multi-modal biometrics. He is also currently the Chair of the Biometrics Technical Committee, Singapore, Chair of the Asian Biometric Forum and project editor of the international standards ISO/IEC JTC1 SC37 29794-4 on fingerprint quality score normalization and co-editor for ISO/IEC JTC1 SC37 29794-1. Wei-Yun is also the recipient of the TEC Innovator Award 2002, the Tan Kah Kee Young Inventors’ Award 2003 (Merit), Standards Council Merit Award 2005 and IES Prestigious Engineering Achievement Awards 2006. His research interest includes biometrics, video understanding and intelligent systems and has published widely, with 3 patents granted and 70 publications in these areas.

Dr Haizhou Li received the B.Sc, M.Sc and Ph.D degrees in electrical & electronic engineering from the South China University of Technology (SCUT) in 1984, 1987 and 1990, respectively. He was a Research Assistant from 1988 to 1990 at the University of Hong Kong. In 1990, he joined SCUT as an Associate Professor where he became a full Professor in 1994. From 1994 to 1995, he was a Visiting Professor at Centre de Recherche en Informatique de Nancy (CRIN), France. In 1995, he became the Manager of the ASR group at the Apple-ISS Research Centre in Singapore where he led the research of Apple’s Chinese Dictation Kit for Macintosh. In 1999, he was appointed as the Research Director of Lernout & Hauspie Asia Pacific, where he oversaw the creation of the world’s first multimodal speech, pen and keyboard input solution for Chinese computing. From 2001 to 2003, he was the Vice President of InfoTalk Corp. Ltd in Singapore. Since 2003, he has been with the Institute for Infocomm Research (I2R) in Singapore, where he is now the head of media processing department. He is also an adjunct Associate Professor of School of Computer Engineering at Nanyang Technological University in Singapore. Dr Li’s current research interests include automatic speech recognition, speaker recognition, spoken language recognition, and natural language processing. He led the I2R team to achieve leading performance in NIST Language Recognition, Speaker Recognition, and Rich Transcription international benchmarkings in 2005, 2006, and 2007. He was a recipient of the National Infocomm Award 2001 and the TEC Innovator’s Award 2004 in Singapore. He is now the Vice President of the COLIPS, Senior Member of IEEE, Executive Committee Member of Asian Federation of NLP, and a Member of ACL.


Tentative Schedule for Module 2

Time
Topic
Day 1

0900 – 1030
Introduction

Pattern recognition basics: classification, features, performance measure. Statistical pattern recognition: Bayes’ classifier, KNN, subspace methods

1030 – 1045
Break
1045 – 1200
Hands on
1200 – 1330
Lunch
1330 – 1500
Fusion methods,
Image processing
1500 – 1515
Break
1515 - 1700

Face recognition in depth: state of the art, challenging problems. Hands on.

Day 2


0900 – 1030

Fingerprint recognition in depth: sensors, minutiae, algorithms

1030 – 1045

Break

1045 – 1200

Hands on

1200 – 1330

Lunch

1330 – 1500

Audio processing,

Voice recognition in depth: state of the art, algorithms, challenges

1500 – 1515

Break

1515 - 1700

Hands on

Registration Fees

(All the registrations include one year free membership renewal for members and one year free membership for non-members)

Full Course (23 – 25 May 2007)
Members of PREMIA: $680.00
Non-members: $800.00
Student members of PREMIA*: $320.00
Student non-members*: $400.00
The registration fee includes course notes, refreshments, use of MatLab for hands-on, and the two textbooks used in modules 1 and 2 (see below), respectively.

Participants may also choose to register module 1 or module 2 only. The registration fees for the individual modules are as follows:

Module 1 (23 May 2007)
Members of PREMIA: $200.00
Non-members: $240.00
Student members of PREMIA*: $80.00
Student non-members*: $100.00
The registration fee includes course notes, refreshments and the following textbook:
Biometrics: Identity Verification in a Networked World by S. Nanavati, M. Thieme and R. Nanavati, Wiley Computer Publishing, 2002.

Module 2 (24 & 25 May 2007)
Members of PREMIA: $550.00
Non-members: $650.00
Student members of PREMIA*: $280.00
Student non-members*: $330.00
The registration fee includes course notes, refreshments, use of MatLab for hands-on, and the following textbook:
Biometric Systems: Technology, Design and Performance Evaluation by James Wayman, Anil Jain, Davide Maltoni, Dario Maio, Springer-Verlag, 2005

* limited seats only

Registration Procedure

Please register online at www.premia-sg.org.
For registration of the full course, click here.
For registration of module 1 only, click here.
For registration of module 2 only, click here.

After online registration, please make your cheque made payable to PREMIA and mail it to the following address:
Attn: A/P Tan Chew Lim,
School of Computing,
National University of Singapore,
3 Science Drive 2
Singapore 117543.

If you wish to do online fund transfer, please email A/P Andrzej Sluzek for more information at ASSLUZEK@ntu.edu.sg

Registration will close on 18 May 2007. However, due to space limitation and textbook availability, registration will close before the deadline if the class limit is reached. Please register early to avoid disappointment.

PREMIA reserves its right to cancel the course due to circumstances beyond its control.


Sponsor: TechSource Systems