Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 7 Similar Profiles
Brain Engineering & Materials Science
Image retrieval Engineering & Materials Science
Detectors Engineering & Materials Science
Color Engineering & Materials Science
Blood vessels Engineering & Materials Science
student Social Sciences
Processing Engineering & Materials Science
Tomography Engineering & Materials Science

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Research Output 2003 2018

  • 192 Citations
  • 7 h-Index
  • 34 Conference contribution
  • 33 Article
  • 1 Review article

Automated pterygium detection method of anterior segment photographed images

Wan Zaki, W. M. D., Mat Daud, M., Abdani, S. R., Hussain, A. & Mutalib, H. A. 1 Feb 2018 In : Computer Methods and Programs in Biomedicine. 154, p. 71-78 8 p.

Research output: Research - peer-reviewReview article

Support vector machines
Feature extraction

Blood vessel segmentation from color retinal images using K-means clustering and 2D gabor wavelet

Ali, A., Wan Zaki, W. M. D. & Hussain, A. 2018 Applied Physics, System Science and Computers - Proceedings of the 1st International Conference on Applied Physics, System Science and Computers, APSAC2016. Springer Verlag, Vol. 428, p. 221-227 7 p. (Lecture Notes in Electrical Engineering; vol. 428)

Research output: ResearchConference contribution

Binary images
Blood vessels

A fully-automated retinal blood vessels detection using filling algorithm

Mustafa, N. B. A., Zaki, W. M. D. W., Hussain, A. & Hamzah, J. C. 1 Jan 2017 In : Information (Japan). 20, 1, p. 665-673 9 p.

Research output: Research - peer-reviewArticle

Blood vessels

A study of retinal vascular tortuosity in diabetic retinopathy

Mustafa, N. B. A., Zaki, W. M. D. W., Hussain, A. & Hamzah, J. C. 27 Mar 2017 2016 International Conference on Advances in Electrical, Electronic and Systems Engineering, ICAEES 2016. Institute of Electrical and Electronics Engineers Inc., p. 636-641 6 p. 7888124

Research output: ResearchConference contribution

ground truth
Emotion Recognition