利用虹膜识别算法检测胆固醇的存在

2009 International Conference on Information Management and Engineering Pub Date : 2009-04-03 DOI:10.1109/ICIME.2009.61

R. Ramlee, S. Ranjit

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引用次数: 52

摘要

本文的目的是利用现有的虹膜识别方法作为检测血管中胆固醇存在的替代方法。本研究采用John Dugan和Libor Mask的虹膜识别方法和替代医学虹膜学。基于虹膜识别方法和虹膜学图，编写了检测人体胆固醇的MATLAB程序。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Using Iris Recognition Algorithm, Detecting Cholesterol Presence

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 Dugan's and Libor Mask's iris recognition methods and alternative medicine, iridology. Based on the iris recognition methods and iridology chart, a MATLAB program has been created to detect the present of cholesterol in human body.

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2009 International Conference on Information Management and Engineering

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