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Shahrizan Jamaludin
Researcher at Universiti Malaysia Terengganu
Publications - 20
Citations - 135
Shahrizan Jamaludin is an academic researcher from Universiti Malaysia Terengganu. The author has contributed to research in topics: Iris recognition & Iris (anatomy). The author has an hindex of 5, co-authored 15 publications receiving 63 citations. Previous affiliations of Shahrizan Jamaludin include Universiti Teknologi MARA & Malaysian Nuclear Agency.
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COVID-19 exit strategy: Transitioning towards a new normal
TL;DR: From the new normal recommendations, the people can continue their daily routines, and at the same time can reduce COVID-19 transmission, and the government and local authorities should develop a soft landing approach based on the WHO recommendations.
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GammaScorpion: mobile gamma-ray tomography system for early detection of basal stem rot in oil palm plantations
Jaafar Abdullah,Hearie Hassan,Mohamad Rabaie Shari,Salzali Mohd,Mahadi Mustapha,Airwan Affendi Mahmood,Shahrizan Jamaludin,Mohd Rosdi Ngah,Noor Hisham Hamid +8 more
TL;DR: A transportable gamma-ray computed tomography system for the early detection of basal stem rot of oil palms due to Ganoderma was developed locally at the Malaysian Nuclear Agency, Kajang, Malaysia and successfully tested and used to detect the extent of BSR damage in oil palm plantations in Malaysia without the need to cut down the trees.
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Sub-iris Technique for Non-ideal Iris Recognition
TL;DR: An improvement is made to enhance the performance of an existing sub-iris technique that can overcome the problem of obtaining iris features from the non-ideal iris and can also reduce the execution time of the iris recognition system.
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Iris recognition based on the modified chan-vese active contour
TL;DR: The modified Chan-Vese active contour is modified to reduce the execution time and to increase the recognition accuracy of iris recognition and was able to improve the performance of iri recognition compared to the integro-differential operator method.
Journal Article
The Removal of Specular Reflection in Noisy Iris Image
TL;DR: The iris image enhancement methods are proposed to remove the specular reflection and obtained fast execution time and low memory, and the improved iris pattern can enhance the performance of iris localization, iris segmentation and feature extraction in the iris recognition system.