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  |