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Automated Detection of Cholesterol Presence using Iris Recognition Algorithm

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Sarika G. Songire, Madhuri S. Joshi

Sarika G Songire and Madhuri S Joshi. Article: Automated Detection of Cholesterol Presence using Iris Recognition Algorithm. International Journal of Computer Applications 133(6):41-45, January 2016. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

	author = {Sarika G. Songire and Madhuri S. Joshi},
	title = {Article: Automated Detection of Cholesterol Presence using Iris Recognition Algorithm},
	journal = {International Journal of Computer Applications},
	year = {2016},
	volume = {133},
	number = {6},
	pages = {41-45},
	month = {January},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}


Arcus senilis is a grayish or whitish bow shaped or ring-shaped deposit in the cornea. It is associated with coronary heart disease (CHD). It is also recognized as a sign of hyperlipidemia. Iridology is an alternative medicine to detect diseases using iris’s pattern observation. Iridologists believe that the grayish or whitish deposit on the iris is sign of presence of cholesterol or Arcus senilis disease. The simple and non-invasive automation system is developed to detect cholesterol presence using iris recognition algorithm in image processing. This study applies iris recognition method to segment out the iris area, normalization process and lastly determines the cholesterol presence using OTSU’s thresholding method and histogram to determine the optimum threshold value. The result showed that the presence of cholesterol was high when the eigenvalue exceeds an optimum threshold value.


  1. J. Daugman, “How Iris Recognition Works,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 14, no. 1, pp. 21-30, Jan. 2004.
  2. L. Masek, “Recognition of Human Iris Patterns for Biometric Identification,” Measurement, 2003.
  3. F. L. Urbana, “Ocular Signs of Hyperlipidemia”, Hospital Physician, review of clinical signs, general internal medicine, Mount Laurel Primary Care Associates, Mount Laurel, NJ, pp. 51-54, November, 2001.
  4. D. Skin and C. Testing, “Issues in Emerging Health Technologies,” Archives des Maladies du Coeur et des Vaisseaux, no. 34, 2002.
  5. J. Daugman, “Iris Recognition,” American Scientist, vol. 89, no. 4, p. 326, 2001.
  6. J.-Y. Um, “Novel approach of molecular genetic understanding of iridology: relationship between iris constitution and angiotensin converting enzyme gene polymorphism.,” The American journal of Chinese medicine, vol. 33, no. 3, pp. 501-5, Jan. 2005.
  7. O. Thefreedictionary, “Online dictionary,” Online dictionary, 1998. [Online] Available:
  8. D. J. Pesek and P. D, “Iridology – An Overview,” North, 2010.
  9. Richard O. Duda and Peter E. Hart, “Use of the Hough Transformation To Detect Lines and Curves in Pictures” Stanford Research Institute, Menlo Park, California Communications Vol. 15 January 1972.
  10. T. A. Camus, R. Wildes, “Reliable and Fast Eye Finding in Close-up Images”, Intelligence, 2002.
  11. R. A. Ramlee, K. A. Aziz, S. Ranjit, Mazran Esro, “Automated Detecting Arcus Senilis, Symptom for Cholesterol Presence Using Iris Recognition Algorithm”, ISSN: 2180 – 1843, Vol. 3 No. 2, July- December 2011.
  12. Vikas Bhangdiya,”Cholesterol Presence Detection Using Iris Recognition”, International Journal of Technology and Science, Issue. 2, Vol. 1, May 2014
  13. N.OTSU, “A threshold selection method from gray-level histograms”, IEEE Trans. On System, Man and Cybernetics, 9 (1): 62--66, 1979.
  14. S V Sheela, P A Vijaya, ―Iris Recognition Methods–Survey‖ International Journal of Computer Applications (0975–8887 ) Volume 3 – No.5, June 2010


Biometric-Identification, Iris recognition, OTSU’s Algorithm, Arcus Senilis, Cholesterol Detection.