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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/dspace/handle/123456789/8803

Title: Detecting cholesterol presence using iris recognition algorithm
Authors: R. A., Ramlee
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Keywords: Iris recognition;Biometric identification;Cholesterol detection;Malaysian Technical Universities Conference on Engineering and Technology (MUCEET)
Issue Date: 20-Jun-2009
Publisher: Universiti Malaysia Pahang
Citation: p.15-16
Series/Report no.: Proceedings of the Malaysian Technical Universities Conference on Engineering and Technology (MUCEET) 2009
Abstract: The objective of this paper is to use existing iris recognition methods as an alternative method to detect the presence of cholesterol in blood vessel. This research adopts John Daugman’s and Libor masek’s iris recognition methods and extends the study of eyes pattern to other application and in this case, the alternative medicine that is iridology. Based on the iris recognition methods and iridology chart, a MATLAB program has been created to detect the present of cholesterol in our body. However, further analysis must be done in order to know the exact range or level of cholesterol in blood vessel.
Description: Malaysian Technical Universities Conference on Engineering and Technology organized by Universiti Malaysia Pahang in collaboration with Universiti Tun Hussein Onn Malaysia, Universiti Teknikal Malaysia Melaka & Universiti Malaysia Perlis on June 20th - 22nd, 2009, at MS Garden Hotel, Kuantan, Pahang, Malaysia.
URI: http://hdl.handle.net/123456789/8803
Appears in Collections:Conference Papers

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