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dc.contributor.authorR. A., Ramlee
dc.date.accessioned2010-08-18T02:38:08Z
dc.date.available2010-08-18T02:38:08Z
dc.date.issued2009-06-20
dc.identifier.citationp.15-16en_US
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/8803
dc.descriptionMalaysian 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.en_US
dc.description.abstractThe 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.en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Pahangen_US
dc.relation.ispartofseriesProceedings of the Malaysian Technical Universities Conference on Engineering and Technology (MUCEET) 2009en_US
dc.subjectIris recognitionen_US
dc.subjectBiometric identificationen_US
dc.subjectCholesterol detectionen_US
dc.subjectMalaysian Technical Universities Conference on Engineering and Technology (MUCEET)en_US
dc.titleDetecting cholesterol presence using iris recognition algorithmen_US
dc.typeWorking Paperen_US
dc.contributor.urlridza@utem.edu.myen_US


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