World's Best Scientists 2026 revealed!
Andrew Beng Jin Teoh

Andrew Beng Jin Teoh

D-Index & Metrics

Computer Science

D-Index
54
Citations
12287
World Ranking
4540
National Ranking
27

Overview

Andrew Beng Jin Teoh is affiliated with Yonsei University in South Korea. Their primary research domain encompasses computer science, with a strong focus on biometric identification and security.

The main fields of study covered in Andrew Beng Jin Teoh's research include:

  • Computer Science

Within this broad field, their work delves into several subfields:

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Artificial Intelligence
  • Information Systems
  • Biomedical Engineering

The principal research topics addressed by Andrew Beng Jin Teoh are:

  • Biometric Identification and Security
  • Face recognition and analysis
  • User Authentication and Security Systems
  • Anomaly Detection Techniques and Applications
  • Advanced Steganography and Watermarking Techniques
  • Face and Expression Recognition
  • Gait Recognition and Analysis

Andrew Beng Jin Teoh has published extensively, with a notable number of recent papers such as:

  • "Abandoning the Bayer-Filter to See in the Dark" (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Comprehensive Competition Mechanism in Palmprint Recognition" (2023), published in IEEE Transactions on Information Forensics and Security
  • "A Tokenless Cancellable Scheme for Multimodal Biometric Systems" (2021), published in Computers & Security
  • "A Review of Abnormal Behavior Detection in Activities of Daily Living" (2023), published in IEEE Access
  • "Palmprint template protection scheme based on randomized cuckoo hashing and MinHash" (2020), published in Multimedia Tools and Applications

The researcher collaborates frequently with several co-authors, including:

  • Ziyuan Yang
  • Xingbo Dong
  • Lu Leng
  • Zhe Jin
  • Cheng Yee Low

Andrew Beng Jin Teoh's work is often found in multiple prominent publication venues, reflecting the diversity and depth of their research interests:

  • arXiv (Cornell University)
  • Pattern Recognition
  • Applied Sciences
  • IEEE Transactions on Information Forensics and Security
  • IEEE Signal Processing Letters

Best Publications

  • Biohashing: two factor authentication featuring fingerprint data and tokenised random number

    Andrew Teoh Beng Jin;David Ngo Chek Ling;Alwyn Goh

  • Extreme Learning Machine

    Erik Cambria;Guang-Bin Huang;Liyanaarachchi Lekamalage Chamara Kasun;Hongming Zhou

  • Random Multispace Quantization as an Analytic Mechanism for BioHashing of Biometric and Random Identity Inputs

    A.B.J. Teoh;A. Goh;D.C.L. Ngo

  • A survey of keystroke dynamics biometrics

    Pin Shen Teh;Andrew Beng Jin Teoh;Shigang Yue

  • An automated palmprint recognition system

    Tee Connie;Andrew Teoh Beng Jin;Michael Goh Kah Ong;David Ngo Chek Ling

  • Cancellable biometrics and annotations on BioHash

    Andrew B. J. Teoh;Yip Wai Kuan;Sangyoun Lee

  • Review article: Touch-less palm print biometrics: Novel design and implementation

    Goh Kah Ong Michael;Tee Connie;Andrew Beng Jin Teoh

  • PalmHashing: a novel approach for cancelable biometrics

    Tee Connie;Andrew Teoh;Michael Goh;David Ngo

  • Personalised cryptographic key generation based on FaceHashing

    Andrew B. J. Teoh;David C. L. Ngo;Alwyn Goh

  • Ranking-based locality sensitive hashing-enabled cancelable biometrics: Index-of-max hashing

    Zhe Jin;Jung Yeon Hwang;Yen Lung Lai;Soohyung Kim

  • A survey on touch dynamics authentication in mobile devices

    Pin Shen Teh;Ning Zhang;Andrew Beng Jin Teoh;Ke Chen

  • High security Iris verification system based on random secret integration

    Chong Siew Chin;Andrew Teoh Beng Jin;David Ngo Chek Ling

  • Towards End-to-End Synthetic Speech Detection

    Guang Hua;Andrew Beng Jin Teoh;Haijian Zhang

  • Palmprint Recognition with PCA and ICA

    Tee Connie;Andrew Teoh;Michael Goh;David Ngo

  • Ranking Based Locality Sensitive Hashing Enabled Cancelable Biometrics: Index-of-Max Hashing

    Zhe Jin;Yen-Lung Lai;Jung-Yeon Hwang;Soohyung Kim

  • Biometric hash: high-confidence face recognition

    D.C.L. Ngo;A.B.J. Teoh;A. Goh

  • Fingerprint template protection with minutiae-based bit-string for security and privacy preserving

    Zhe Jin;Andrew Beng Jin Teoh;Thian Song Ong;Connie Tee

  • Integrated biometrics template protection technique based on fingerprint and palmprint feature-level fusion

    Y. J. Chin;T. S. Ong;A. B. J. Teoh;K. O. M. Goh

  • An efficient fingerprint verification system using integrated wavelet and Fourier-Mellin invariant transform

    Andrew Teoh Beng Jin;David Ngo Chek Ling;Ong Thian Song

  • Cancellable iris template generation based on Indexing-First-One hashing

    Yen-Lung Lai;Zhe Jin;Andrew Beng Jin Teoh;Bok-Min Goi

  • A non-invertible Randomized Graph-based Hamming Embedding for generating cancelable fingerprint template

    Zhe Jin;Meng Hui Lim;Andrew Beng Jin Teoh;Bok Min Goi

  • 2^N discretisation of biophasor in cancellable biometrics

    Andrew Beng Jin Teoh;Kar-Ann Toh;Wai Kuan Yip

Frequent Co-Authors

Kar-Ann Toh
Kar-Ann Toh Yonsei University
Jaihie Kim
Jaihie Kim Yonsei University
Aini Hussain
Aini Hussain National University of Malaysia
Massimo Tistarelli
Massimo Tistarelli University of Sassari
Zhiping Lin
Zhiping Lin Nanyang Technological University
Muhammad Khurram Khan
Muhammad Khurram Khan King Saud University
Arun Ross
Arun Ross Michigan State University
Euntai Kim
Euntai Kim Yonsei University
Wei-Yun Yau
Wei-Yun Yau Institute for Infocomm Research
Victor C. M. Leung
Victor C. M. Leung Shenzhen University

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