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Fingerprint Dive into the research topics where Beng Jin Teoh is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 7 Similar Profiles
Biometrics Engineering & Materials Science
Face recognition Engineering & Materials Science
Authentication Engineering & Materials Science
Fusion reactions Engineering & Materials Science
Face Recognition Mathematics
Principal component analysis Engineering & Materials Science
Feature extraction Engineering & Materials Science
Experiments Engineering & Materials Science

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Research Output 2001 2019

2 Citations (Scopus)

Cancelable fingerprint template design with randomized non-negative least squares

Kho, J. B., Kim, J., Kim, I. J. & Teoh, A. B. J., 2019 Jul 1, In : Pattern Recognition. 91, p. 245-260 16 p.

Research output: Contribution to journalArticle

2 Citations (Scopus)

Feature fusions for 2.5D face recognition in Random Maxout Extreme Learning Machine

Chong, L. Y., Ong, T. S. & Teoh, B. J., 2019 Feb 1, In : Applied Soft Computing Journal. 75, p. 358-372 15 p.

Research output: Contribution to journalArticle

Face recognition
Covariance matrix
Learning systems
Fusion reactions
Principal component analysis

Grassmannian Clustering for Multivariate Time Sequences

Oh, B. S., Teoh, A. B. J., Toh, K. A. & Lin, Z., 2019 Jan 1, New Trends in Computer Technologies and Applications - 23rd International Computer Symposium, ICS 2018, Revised Selected Papers. Chang, C-Y., Lin, C-C. & Lin, H-H. (eds.). Springer Verlag, p. 654-664 11 p. (Communications in Computer and Information Science; vol. 1013).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Grassmann Manifold
Clustering algorithms
Clustering Algorithm
1 Citation (Scopus)

In-air hand gesture signature recognition system based on 3-dimensional imagery

Khoh, W. H., Pang, Y. H. & Teoh, A. B. J., 2019 Mar 1, In : Multimedia Tools and Applications. 78, 6, p. 6913-6937 25 p.

Research output: Contribution to journalArticle

6 Citations (Scopus)

Multi-Fold Gabor, PCA, and ICA Filter Convolution Descriptor for Face Recognition

Low, C. Y., Teoh, A. B. J. & Ng, C. J., 2019 Jan, In : IEEE Transactions on Circuits and Systems for Video Technology. 29, 1, p. 115-129 15 p., 8063938.

Research output: Contribution to journalArticle

Independent component analysis
Face recognition
Principal component analysis
Gabor filters