
Kar-Ann Toh
PhD, Senior
Member IEEE.
Email: ![]()
Personal Home Page
(Updated 03 Jan 2010)
·
Biometrics
o
Multimodal
biometrics fusion
Biometric is one of the most promising
means to prevail conventional security methods. The main reason being that
biometric gives authority directly to the user and not to indirect means such
as a token or a password. However, there remain many problems to be resolved
before biometric can really gain wide applications. For example, due to
inherent limitations as well as external sensing factors, no single biometric
method can warrant a hundred percent authentication accuracy as well as
universality of usage by itself without imposing strict conditions during
usage. Noting that these problems may be alleviated by combining multiple
biometric methods, we are thus motivated to seek effective means to combine
several biometrics to improve the situation.
o
Face and hand
biometrics
The face and the hand are among the most
conveniently accessible human body parts. This possibly explains the pervasive
usage of face and fingerprint in authentication applications, particularly
those related to personal identity and travel documents. Due to the large
intra-class variations which overlap much into the inter-class variations, as
well as the inherently large image size which leads to high dimensionality,
face recognition based on 2D images is considered to be among the most
challenging problems. Likewise, identity verification based on 2D fingerprint
images is also a challenging task even though the images could be acquired
under a much controlled environment. Our main focus in these themes will be on
deriving effective means for feature extraction.
o
Biometric
security
Apart from using a biometric for
authentication, the security of the biometric itself remains an issue. Under
this research theme, we will focus on revocable biometrics where a feature
template can be easily replaced when it is compromised.
·
Pattern Classification and Machine Learning
o
Pattern
classification
Pattern classification is a key component in many decision
processes spanning various fields of research in science and engineering.
Examples include biometric authentication, medical diagnosis, information
fusion and data mining. Apart from statistical means, learning from examples
constitutes a major paradigm in pattern classification. Under this paradigm, a
classifier minimizes a cost function and forms a map between the input feature
space and the output hypothesis space of possible functional attributes such as
pattern classes. In view of the nonlinearity incurred from the error counting
process thereby requiring an almost inevitable iterative search for an
optimized solution, we seek a deterministic approach in this work.
Recently, we have found that a zero-one counting step function in
the minimum classification error (MCE) problem can be effectively approximated
by a quadratic function, and this approximation together with a linear
parametric learning model give rise to a closed-form solution minimizing the
MCE. The approximation has also been extended to maximize the area under ROC
for biometrics fusion where, again, a closed-form solution can be obtained.
(Ref: PAMI-2008, PR-2008a,b)
o
Network learning
and optimization
As an universal approximator,
the artificial neural network becomes a natural choice in many black box
learning applications. For a feedforward network with
random hidden neurons, the above mentioned quadratic approximation holds well
for the zero-one loss objective used in training and can be well adapted with
good classification property. Moreover, through a dual formulation of the
solution, the learning can always be either determined or over-determined.
(Ref: NeuralComp-2008)
o Guest editors: Jiankun Hu, Vijayakumar Bhagavatula, Mohammed Bennamoun and Kar-Ann Toh, Special Issue on Biometric Security for Mobile Computing, Security and Communication Networks Journal, John Wiley, 2010. (Call for papers)
o International Conference on Signal and Image Processing Applications, November 2009, Kuala Lumpur, Malaysia, (ICSIPA'09)
o Arun Ross, Kar-Ann Toh and Sudeep Sarkar, Program co-chair, IEEE Fourth International Conference on Biometrics: Theory, Applications and Systems (BTAS 2010), 27-29 September 2010, Washington DC, USA (BTAS 2010) Call for papers
o
Kar-Ann Toh, Jiankun Hu and Andrew Teoh, ICIEA Invited Session on Biometrics, 15-17 June
2010,
o
Kar-Ann Toh, Kwanghoon Sohn and Sangyoun Lee, Special
Session on Vision, Recognition and Biometrics, IEEE TENCON 2009, 23-26
November 2009, Singapore (TENCON 2009)
o Kar-Ann Toh, Track Chair of Signal Processing, Fifth International Conference on Industrial Electronics and Applications, 15-17 June 2010, Taichung, Taiwan (ICIEA 2010) Call for Papers
o Kar-Ann Toh, Andrew Teoh
and Kwanghoon Sohn, ICIEA
Invited Session on Pattern Analysis and Biometrics, 25-27 May 2009,
o Kar-Ann Toh, Track Chair of Signal Processing, Fourth International Conference on Industrial Electronics and Applications, 25-27 May 2009, Xian, China (ICIEA 2009) Call for Papers
o Kar-Ann Toh, Technical Track Chair, The Tenth International Conference on Control, Automation, Robotics and Vision, 17-20 December 2008, Hanoi, Vietnam (ICARCV 2008) Call for Papers
o Kar-Ann Toh, Zujun Hou and Andrew Teoh, ICIEA
Invited Session on Pattern Analysis and Biometrics, 3-5 June 2008,
o Kar-Ann Toh, Track Chair of Signal Processing, Third International
Conference on Industrial Electronics and Applications 3-5 June 2008,
o Kar-Ann Toh,
Track Chair, IEEE International Conferences on Cybernetics & Intelligent
Systems (CIS) and Robotics, Automation & Mechatronics
(RAM), 3-6 June, 2008,
o Kar-Ann Toh, and Andrew B. J. Teoh, Chair/Vice Chair of ISATC Outreach Task Force 2007-2008, IEEE Computational Intelligence Society.
o Kar-Ann Toh, Sangyoun
Lee, and Jaihie Kim, ICIEA Invited
Session on Biometrics, Fusion and Pattern Recognition, 23-25 May, 2007,
o Kar-Ann Toh, Technical Track Chair, The Ninth International Conference on Control, Automation, Robotics and Vision, 5-8 December 2006, Singapore (ICARCV 2006) Call for Papers
o Kar-Ann Toh and Ke
Chen, ICIEA Invited Session on Pattern Analysis and Biometrics, 24-26 May,
2006,
o Ke Chen, Kar-Ann Toh and Peter Tino, Special Session on Natural Computation for Temporal Data Processing, 16-21, July 2006, Vancouver, Canada (WCCI06-IJCNN2006) Call for Papers
o The 7th edition of the SPIE Biometric Technology for Human Identification VII, Part of program track on Defense, Homeland Security, and Law Enforcement , Orlando, FL, USA, 05-09 April 2010 (SPIE DS108)
o Joint COST 2101 & 2102 International Conference on Biometric ID Management and Multimedia Communication, Madrid, Spain, 16-18 September 2009 (BioID_MultiComm09).
o IEEE
TENCON 2009, 23-26 November 2009,
o International
Conference on Knowledge Discovery and Information Retrieval, Madeira, 6-8
October 2009,
o The Fifth International Conference on Natural
Computation (ICNC09), and the Fourth International Conference on Fuzzy Systems
and Knowledge Discovery (FSKD09), ), 14-16 August 2009,
o The
6th edition of the SPIE Biometric Technology for Human Identification VI, Part of program track on Defense, Homeland Security, and Law Enforcement ,
o 2009
IEEE Workshop on Computational Intelligence in Aerospace Applications,
30March-2April 2009,
o Intelligent Systems Applications TC 2008-2009, IEEE Computational Intelligence Society (IEEE ISATC).
o Intelligent Systems Applications TC 2007-2008, IEEE Computational Intelligence Society (IEEE ISATC).
o International
Symposium on Intelligent Signal Processing and Communications Systems, 28
November - 1 December 2007,
o IEEE
Congress on Evolutionary Computation (CEC), 25-28 September 2007,
o The Third International Conference on Natural
Computation (ICNC07), and the Fourth International Conference on Fuzzy Systems
and Knowledge Discovery (FSKD07), ), 24-27 August 2007,
o IEEE
International Conferences on Cybernetics & Intelligent Systems (CIS) and
Robotics, Automation & Mechatronics (RAM), 7-9
June, 2006,
o The Second International Conference on
Natural Computation (ICNC06), and the Third International Conference on Fuzzy
Systems and Knowledge Discovery (FSKD06), ), 24-27 September 2006,
o
International Conference on Biometrics, 5-7
January 2006,
o The 5th International Conference on Audio- and Video-based Biometric Person Authentication, 20-22 July 2005, New York, USA (AVBPA 2005) Call for Papers
o The
3rd International Conference on Computational Intelligence, Robotics
and Autonomous Systems, 13-16 December 2005,
o International
Symposium on Intelligent Signal Processing and Communications Systems, 13-16
December 2005,
o International
Conference on Natural Computation, 27-29 August 2005,
o The
11th International Conference on Neural Information Processing,
22-25 November 2004,
o IEEE Trans. on Pattern Analysis and Machine Intelligence.
o IEEE Trans. on Information Forensics and Security
o IEEE Trans. on Signal Processing
o IEEE Trans. on Neural Networks.
o
IEEE Trans. on
Knowledge and Data Engineering
o IEEE Trans. on Automation Science and Engineering
o IEEE Trans. on Audio, Speech and Language Processing
o IEEE Trans. on Circuits and Systems, Part I.
o IEEE Trans. on Systems, Man and Cybernetics Part B.
o IEEE Trans. on Systems, Man and Cybernetics Part C.
o IEEE Computing in Science and Engineering Magazine
o
IEEE Systems Journal
o Pattern Recognition Letters.
o Computer Vision and Image Understanding
o
EURASIP Journal on Applied Signal Processing.
o Neural Information Processing - Letters and Reviews.
o
International
Journal of Imaging Systems and Technology
o International Journal of Information Technology.
o
Journal of Network
and Computer Applications
o
Security and
Communication Networks Journal
· Reviewer of international conferences:
o
International
Joint Conference on Neural Networks, 14-19 June 2009,
o International
Conference on Biometrics, 2-5 June 2009,
o IEEE
International Conference on Automation and Logistics, 1-3 September 2008,
o International
Conference on Biometrics, 27-29 August 2007,
o
International
Joint Conference on Neural Networks, 12-17 August 2007,
o
The
Second International Conference on Industrial Electronics and Applications, 23-25 May, 2007,
o International Conference on Natural
Computation (ICNC06), and the Third International Conference on Fuzzy Systems
and Knowledge Discovery (FSKD06), ), 24-27 September 2006,
o
International Conferences on Cybernetics &
Intelligent Systems (CIS) and Robotics, Automation & Mechatronics
(RAM), 7-9 June 2006,
o
First
International Conference on Industrial Electronics and Applications, 24-26 May, 2006,
o
International
Conference on Biometrics, 5-7 January 2006,
o International
Conference on Computational Intelligence, Robotics and Autonomous Systems,
13-16 December 2005,
o International
Symposium on Intelligent Signal Processing and Communications Systems, 13-16
December 2005,
o International
workshop on multimedia signal processing, November 2005,
o International
Conference on Natural Computation, 27-29 August 2005,
o International
Conference on Audio- and Video-based Biometric Person Authentication, 20-22
July 2005,
o
International
Conference on Biometric Authentication, 15-17 July 2004,
o
International Conference on Neural Information
Processing, 22-25 November 2004,
o
International Symposium on Intelligent
Multimedia, Video and Speech Processing, 20-22 October 2004,
o International Conference on Automation, Robotics and Computer Vision (ICARCV2000, ICARCV'2002, ICARCV2004, ICARCV2006, and ICARCV 2008)
Seminars
/ Invited Lectures / Talks
·
International Journals
Biometrics
and Applications
K.-A. Toh, J. Kim and S. Lee, Maximizing
Area Under ROC Curve for Biometric Scores Fusion, Pattern
Recognition, vol. 41, no. 11, pp. 3373-3392, November 2008.
K.-A. Toh, J. Kim and S. Lee, Biometric
Scores Fusion Based on Total Error Rate Minimization, Pattern
Recognition, vol. 41, no. 3, pp. 1066-1082, March, 2008.
H.-L. Eng, K.-A. Toh, W.-Y. Yau and J. Wang, DEWS: A Live Visual Surveillance System for Early Drowning Detection at Pool, IEEE Trans. on Circuits and Systems for Video Technology, vol. 18, no. 2, pp.196-210, February 2008. (Regular)
C. Lee, J.-Y. Choi, K.-A. Toh, S. Lee
and J. Kim, Alignment-Free
Cancelable Fingerprint Templates Based on Local Minutiae Information,
IEEE Trans. on Systems, Man, and Cybernetics, Part B, vol.
37, no. 4, pp.980-992, August, 2007 (Regular).
K.-A. Toh and W.-Y. Yau, Fingerprint
and Speaker Verification Decisions Fusion Using A Functional Link Network,
IEEE Trans. on Systems, Man, and Cybernetics, Part C, vol. 35,
no. 3, pp.357-370, August, 2005 (Regular).
K.-A. Toh, X. Jiang and W.-Y. Yau, Exploiting Global and Local Decisions for Multimodal Biometrics Verification, IEEE Trans. on Signal Processing (Supplement on Secure Media), vol. 52, no. 10, pp.3059-3072, October 2004 (Regular).
K.-A. Toh and W.-Y. Yau, Combination
of Hyperbolic Functions for Multimodal Biometrics Data Fusion, IEEE
Trans. on Systems, Man, and Cybernetics, Part B, vol.34, no.2,
pp.1196-1209, 2004 (Regular).
K.-A. Toh, W.-Y. Yau and X. Jiang, A Reduced Multivariate Polynomial Model For Multimodal Biometrics And Classifiers Fusion, IEEE Trans. on Circuits and Systems for Video Technology (Special Issue on Image- and Video-Based Biometrics), vol.14, no.2, pp.224-233, February 2004. (Letters)
Pattern
Classification, Neural and Machine Learning
K.-A. Toh, Deterministic Neural Classification, Neural Computation, vol. 20, no. 6, pp.1565-1595, June 2008. (Letter)
K.-A. Toh and H.-L. Eng, Between Classification-Error Approximation and Weighted Least-Squares Learning, IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.30, no.4, pp.658-669, April 2008 (Regular).
K.-A. Toh, Training a Reciprocal-Sigmoid Classifier by Feature Scaling-Space, Machine Learning, vol. 65, no.1, pp.273-308, October 2006. (MATLAB codes available in the paper)
Q.-L. Tran, K.-A. Toh, D. Srinivasan,
K.-L. Wong and Q.-C. Low,, An
Empirical Comparison of Nine Pattern Classifiers, IEEE Trans. on
Systems, Man, and Cybernetics, Part B, vol. 35, no.5, pp.1079-1091,
October 2005. (Correspondence)
K.-A. Toh, Q.-L. Tran and D. Srinivasan, Benchmarking a Reduced Multivariate Polynomial Pattern Classifier, IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 26, no. 6, pp.740-755, June 2004 (Regular). (MATLAB codes available in the paper)
Optimization
and Control
K.-A. Toh, Deterministic
Global Optimization for FNN Training, IEEE Trans. on Systems, Man,
and Cybernetics, Part B, vol.33, no.6, pp. 977-983, 2003.
(Correspondence)
K.-A. Toh, Global Optimization by Monotonic Transformation, Computational Optimization and Applications, vol.23, no.1, pp.77-99, October 2002.
K.-A. Toh and R. Devanathan, On Convexity and Quasiconvexity of an On-line Identification Formulation, International Journal of Control, vol. 74, no. 9, pp. 938-948, 2001.
K.-A. Toh and R. Devanathan, Pattern-based Identification for Process Control applications, IEEE Trans. on Control Systems Technology, vol. 4, no. 6, pp. 641-648, 1996. (Brief)
K.-A. Toh and R. Devanathan, An Autotuning Controller for 2x2 Interacting Processes, Control and Computers (A Journal of IASTED), vol. 23, no. 2, pp. 53-58, 1995.
K.-A. Toh and R. Devanathan, An Expert Autotuner for Multiloop SISO Controllers, Control Engineering Practice (A Journal of IFAC), vol. 1, pp. 999-1008, December 1993.
·
Book Chapters/Edited Proceedings
J.-G.
Wang, K.-A. Toh, E. Sung and W.-Y. Yau , Chapter
28: A Feature-level Fusion of Appearance and Passive Depth Information for Face
Recognition, Face Recognition, Kresimir Delac and Mislav Grgic (Eds.), pp.537-558, I-Tech Education and Publishing,
K.-A. Toh, Q.-L. Tran and D. Srinivasan, Chapter 1: Hyperbolic Function Networks for Pattern Classification, Trends in Neural Computation, Ke Chen and Lipo Wang (Eds.), pp.1-34, Springer, 2007
K.-A. Toh, X. Jiang, and W.-Y. Yau, Relaxation of Hard Classification Targets for LSE Minimization, Fifth International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), St. Augustine, Florida, USA, pp.187-202, November 2005 (Lecture Notes in Computer Science, LNCS 3757).
K.-A. Toh,
Global
Energy Minimization: A Transformation Approach, in Proceedings of Third
International Workshop on Energy Minimization Methods in Computer Vision and
Pattern Recognition (EMMCVPR), pp.
391-406,
K.-A. Toh, J. Lu, and W.-Y. Yau, Global Feedforward Neural Network Learning for Classification and Regression, in Proceedings of Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), pp. 407-422, Sophia-Antipolis, France: Springer, September 2001 (Lecture Notes in Computer Science, LNCS 2134).
·
Invited Papers
·
International Conferences (only 1999 onwards are listed)
K.
Choi, K.-A. Toh and H. Byun, A Random Network Ensemble for Face Recognition,
The 3rd IAPR/IEEE Int. Conference on Biometrics, (ICB), Sardinia,
Italy, pp. 92-101, 2-5 June 2009 (Lecture Notes in Computer Science, LNCS 5558)
M.
Kang, B. Kim, K.-A. Toh and K. Sohn, Surrounding Adaptive Color Image Enhancement based on CIECAM02, 2008 IEEE International Conference on Systems, Man,
and Cybernetics (SMC), pp.1031-1036, October, 2008.
Y. Kim and K.-A. Toh, A
Method to Enhance Face Biometric Security, The First IEEE Conference on
Biometrics: Theory, Applications and Systems (BTAS),
S. W. Jung, Y. Kim, A. B. J. Teoh and K.-A. Toh, Robust Identity
Verification Based on Infrared Face Images, International Conference on
Convergence Information Technology (ICCIT),
K.-A. Toh, Error-Rate Based
Biometrics Fusion, IAPR-IEEE Int. Conf. Biometrics Authentication,
(ICB), Seoul, Korea, pp. 191-200, August 2007 (Lecture Notes in Computer
Science, LNCS 4642)
Andrew
B. J. Teoh, K.-A.
Toh, and W. K. Yip, 2^N
Discretisation of BioPhasor
in Cancellable Biometrics, IAPR-IEEE Int. Conf. Biometrics
Authentication, (ICB),
K.-A. Toh, Training a
Φ-Machine Classifier Using Feature Scaling-Space, Proceedings of
the 4th International IEEE Conference on Industrial Informatics (INDIN),
K.-A. Toh and J. Kim, Training a Full
Polynomial for Face Recognition, Proceedings of the 8th
International Conference on Electronics, Information and Communications,
K.-A.
Toh, H.-L.
Eng, Y.-S. Choo, Y.-L. Cha, W.-Y. Yau,
and K.-S. Low, Identity Verification Through Palm
Vein and Crease Texture, IAPR Int. Conf. Biometrics Authentication
(IAPR-ICB), Hong Kong, pp. 546-553, January 2006 (Lecture Notes in Computer
Science, LNCS 3832).
T.-K. Tan and C.-L. Ng, K.-A. Toh, H.-L. Eng, W.-Y. Yau, and
D. Srinivasan, A Bimodal
Palmprint Verification System, Int. Conf.
Biometrics Authentication (IAPR-ICB), Hong Kong, pp.737-743, January 2006
(Lecture Notes in Computer Science, LNCS 3832).
J.-G. Wang, K.-A. Toh and R. Venkateswarlu, Fusion of Appearance and Depth Information for Face
Recognition, Fifth International Conference on Audio- and Video-Based
Biometric Person Authentication (AVBPA),
W.Y. Yau, S.L. Goh, J. Li, K.A. Toh and
D. Srinivisan, Using
Unified Orientation Model for Fingerprint Classification, Dynamics of
Continuous, Discrete and
Impulsive Systems Series B: Applications &
Algorithms, Special Issue, pp. 668-673, 2005.
K.-A. Toh, Personalized Learning
and Decision for Multimodal Biometrics, 2004 IEEE Conference on
Cybernetics and Intelligent Systems (CIS),
Q.
L. Tran, K.-A. Toh
and D. Srinivasan, Adaptation
to Changes in Multimodal Biometric Authentication, 2004 IEEE Conference
on Cybernetics and Intelligent Systems (CIS),
E.
Lim, K.-A. Toh, P. N. Suganthan,
X. Jiang and W.-Y. Yau, Fingerprint
Image Quality Analysis, International Conference on Image Processing
(ICIP),
K.-A.
Toh, X.
Jiang and W.-Y. Yau, A
Hyperbolic Function Model for Multiple Biometrics Decision Fusion, Int.
Conf. Biometrics Authentication (ICBA), Hong Kong, pp. 655-662, July 2004
(Lecture Notes in Computer Science, LNCS 3072).
K.-A.
Toh, W.-Y. Yau, E. Lim, L. Chen and C. H. Ng, Fusion of Auxiliary Information for Multi-modal Biometrics
Authentication, Int. Conf. Biometrics Authentication (ICBA), Hong Kong,
pp. 678-685, July 2004 (Lecture Notes in Computer Science, LNCS 3072).
K.-A.
Toh, Fingerprint
and Speaker Verification Decisions Fusion, International Conference
on Image Analysis and Processing (ICIAP),
H.-L.
Eng, K.-A. Toh, Alvin H. Kam,
J. Wang and W.-Y. Yau, An
automatic drowning detection surveillance system for challenging outdoor pool
environments, The 9th International Conference on Computer Vision
(ICCV),
K.-A.
Toh, W. Xiong, W.-Y. Yau and X. Jiang, Combining Fingerprint and Hand-Geometry Verification
Decisions, in Proceedings of Fourth International Conference on Audio-
and Video-Based Biometric Person Authentication (AVBPA), Guildford, United
Kingdom, pp. 688-696, June, 2003 (Lecture Notes in Computer Science, LNCS
2688).
K.-A.
Toh and K.
Z. Mao, A global transformation approach to RBF
neural network learning, in Proceedings of International Conference on
Pattern Recognition (ICPR), (Quebec, Canada), vol. II, pp. 96-99, August 2002.
K.-A.
Toh, W.-Y. Yau, X. Jiang, T.-P. Chen, J. Lu, and E. Lim, Minutiae data synthesis for fingerprint identification
applications, in Proceedings of the 2001 International Conference on
Image Processing (ICIP), vol.3, Greece, pp.262-265, October 2001.
K.-A.
Toh, Fast
deterministic global optimization for FNN training, in Proceedings of IEEE International
Conference on Systems, Man, and Cybernetics, Tokyo, Japan, pp. V413 - V418,
October 1999.