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Expertise: Image/video Processing, Computational Intelligence, Computer Vision, Surveillance System

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Applied Electronics & Computer Engineering (AppECE),
Faculty of Electrical and Electronics Engineering
Universiti Malaysia Pahang,
26600, Pekan, Pahang, Malaysia

Phone: +609-424-6032
Fax:   +609-424-6000
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 Education  |  Teaching Courses |  Publications | Research & Development | Supervision




[1] M Yakno, Junita Mohamad-Saleh, and Bakhtiar Affendi Rosdi (2011), “Impulse noise detector for vein images based on feed-forward neural network”, Opt. Eng. 50:093202.


Conference (Proceedings):

[1] M Yakno, J Mohamad-Saleh, and BA Rosdi (2011), “Low contrast hand vein image enhancement”, 2011 IEEE International Conference on Signal and Image Processing Applications, pp. 390-392.

[2] M Yakno, J Mohamad-Saleh, BA Rosdi, Umi Kalthum Ngah, and Narazah Mohd-Yusoff (2011), “Hand vein projection system for intraveous access”, Proceedings of the Electrical and Electronics Postgraduate Colloqium EEPC 2011, pp. 1-4.

[3] M Yakno, J Mohamad-Saleh, and BA Rosdi (2015), “New Technique for larger ROI Extraction of Hand Vein Images,” in The International Conference on BioSignal Analysis, Processing and Systems (ICBAPS 2015), Kuala Lumpur, Malaysia, 2015.

[4] M Yakno, J Mohamad-Saleh, and BA Rosdi (2015), “Grayscale and Binary Image Enhancement of Hand Vein Images to Aid Peripheral Intravenous Access ,” in The New Development in Biology, Biomedical & Chemical Engineering and Materials Science, Vienna, Austria, 2015