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Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/8803
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| Title: | Detecting cholesterol presence using iris recognition algorithm |
| Authors: | R. A., Ramlee |
| E-mail: | ridza@utem.edu.my |
| 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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Files in This Item:
| File |
Description |
Size | Format |
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| 015-018.pdf | Access is limited to UniMAP community | 1.02 MB | Adobe PDF | View/Open |
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