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Richard Ng

About Me

Name: Richard Ng Yew Fatt
Research: Iris Recognition
Qualification: Bachelor of Electronic Engineering (Hons)
Current: Candidate for Master of Engineering Science (Structure A)
Email: richng01@yahoo.com

Publications

Conference:

  1. Ng, R. Y. F., Tay, Y. H., & Mok, K. M. (2008). An Effective Segmentation Method for Iris Recognition System. The 5th International Conference on Visual Information Engineering (VIE 2008) (pp. 548-553). Xi'an: Institution of Engineering and Technology, London. [poster]
  2. Ng, R. Y. F., Tay, Y. H., & Mok, K. M. (2008). A Review of Iris Recognition Algorithms. In H. B. Zaman, T. M. Tengku Sembok, K. v. Rijsbergen, L. Zadeh, P. Bruza, T. Shih, et al. (Ed.), Proceedings International Symposium on Information Technology 2008 (ITSIM 2008). 2, pp. 835-841. Kuala Lumpur: Institute of Electrical and Electronics Engineers. Inc. [abstract][poster]
  3. Ng, R. Y. F., Tay, Y. H., & Mok, K. M. (2008). Iris Recognition Algorithms Based on Texture Analysis. In H. B. Zaman, T. M. Tengku Sembok, K. v. Rijsbergen, L. Zadeh, P. Bruza, T. Shih, et al. (Ed.), Proceedings International Symposium on Information Technology 2008 (ITSIM 2008). 2, pp. 904-908. Kuala Lumpur: Institute of Electrical and Electronics Engineers. Inc. [abstract][slides]
  4. Ng, R. Y. F.Tay, Y. H., & Mok, K. M. (2009).  DSP-Based Implementation and Optimization of an Iris Verification Algorithm using Textural Feature. In Y. Chen, H. Deng, D. Zhang, & Y. Xiao (Ed.), Proceedings 6th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2009). pp. 374-378. Tianjin: Institute of Electrical and Electronics Engineers. Inc. [slides]

Thesis:

  1. Ng, R. Y. F. (2007). Modelling and Verification of 8-bit Pipelined MIPS Microprocessor in Verilog. Bachelor of Electronic Engineering (Hons), Universiti Tunku Abdul Rahman.