Using iris recognition algorithm, detecting cholesterol presence

Proceedings - 2009 International Conference on Information Management and Engineering, ICIME 2009

Volumn , Issue , 2009, Pages 714-717

  Ramlee, R A ^a   Ranjit, S ^a  

^a UNIVERSITI TEKNIKAL MALAYSIA MELAKA   (Malaysia)

Author keywords

Biometric identification; Cholesterol detection; Iris recognition

Indexed keywords

ALTERNATIVE MEDICINE; ALTERNATIVE METHODS; BIOMETRIC IDENTIFICATION; CHOLESTEROL DETECTION; HUMAN BODIES; IRIDOLOGY; IRIS RECOGNITION; IRIS RECOGNITION ALGORITHM; MATLAB PROGRAM;

ANTHROPOMETRY; BLOOD VESSELS; CHOLESTEROL; INFORMATION MANAGEMENT; MATLAB;

BIOMETRICS;

EID: 70349480942     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIME.2009.61     Document Type: Conference Paper

References (8)

1. N.Haq, M.D.Fox, "Preliminary results of IR spectroscopic characterization of cholesterol", Bioengineering Conference, 1991., Proceeding of the 1991 IEEE Seventeenth annual Northeast, pp.175-176, 4-5 Apr 1991.
2. th, 2004, available at http://www.fda.gov/bbs/topics/ANSWERS/2002/ANS01154.html
3. L.Berggren, "Iridology: a critical review" Acta Ophthalmol, 63,pp.1-8,1985.
4. K.Hughes, K.C.Lun, S.P.Sothy, A.C. thai, W.P. Leong, P.B. Yeo, "Corneal arcus and cardiovascular risk factors in Asians in Singapore",Int. Journal Epidemiol 1992,vol.21,pp.473-147.
5. J. Daugman. "How Iris Recognition Works", IEEE Transaction on Circuits and Systems for Video Technology, vol. 14, No.1, Jan 2004.
6. L. Masek, "Recognition of Human Iris Patterns for Biometric Identification", Dissertation, University of Western Australia, 2003.
7. UBIRIS Iris Image Databse, available at http://iris.di.ubi.pt/
8. N.Otsu, A threshold selection method from gray-level histograms. IEEE Trans. on System, Man and Cybernetics, 9(1):62--66, 1979