Using Iris Recognition Algorithm, Detecting Cholesterol Presence

被引：20

作者：

Ramlee, R. A. ^{[1
]}

Ranjit, S. ^{[1
]}

机构：

[1] Univ Tekn Malaysia Melaka, Fac Elect Engn & Comp Engn, Ayer Keroh, Malaysia

来源：

2009 INTERNATIONAL CONFERENCE ON INFORMATION MANAGEMENT AND ENGINEERING, PROCEEDINGS | 2009年

关键词：

Iris recognition; biometric identification; cholesterol detection;

D O I：

10.1109/ICIME.2009.61

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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 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.

引用

页码：714 / 717

页数：4

共 8 条

[1]

BERGGREN L, 1985, ACTA OPHTHALMOL, V63, P1

[2]

Daugman J., 2004, IEEE T CIRCUITS SYST, V14

[3]

HAQ N, 1991, BIOENG C 1991 P 1991, P175

[4] CORNEAL ARCUS AND CARDIOVASCULAR RISK-FACTORS IN ASIANS IN SINGAPORE [J].

HUGHES, K ;

LUN, KC ;

SOTHY, SP ;

THAI, AC ;

LEONG, WP ;

YEO, PB .

INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 1992, 21 (03) :473-477

[5]

Masek L., 2003, THESIS U W AUSTR

[6] THRESHOLD SELECTION METHOD FROM GRAY-LEVEL HISTOGRAMS [J].

OTSU, N .

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1979, 9 (01) :62-66

[7]

*UBIRIS, UBIRIS IR IM DAT

[8]

*US FDA, 2004, FDS CLEARS NEW PALM

← 1 →