Detection of Heart Abnormalities and High-Level Cholesterol Through Iris

  • P. A. ReshmaEmail author
  • K. V. Divya
  • T. B. Subair
Conference paper
Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 30)


Iridology is medicine technique to claim the colours, characteristics and pattern of the iris. Iridology is used to determine the existence of basic genetics, irregularities in the body, dam circulation, toxin deposition and other weakness. This paper discusses the determination of high-level cholesterol in blood and heart conditions through several stages. In this study, we examine the heart condition and cholesterol through preprocessing, segmentation, feature extraction and classification from the captured iris image. Due to the high level of cholesterol in blood, sodium ring is to be formed around the iris.


Component Iridology Iris analysis Image processing Cholesterol Sodium ring 


  1. 1.
    Hiru (2005) Iridology: Mendeteksi Penyakit Hanya dengan Mengintip Mata. Gramedia Pustaka UtamaGoogle Scholar
  2. 2.
    Jensen B (2005) Science and practice of iridologyGoogle Scholar
  3. 3.
    Woodward JD, Orlans NM, Higgins PT (2003) Biometrics: identity assurance in the information age. ISBN 0-07-222227-1Google Scholar
  4. 4.
    Sivasankar K, Sujaritha M, Pasupathi P, Muthukumar S (2012) FCM based iris image analysis for tissue imbalance stage identification. In: International conference on emerging trends in scienceGoogle Scholar
  5. 5.
    Wibawa D, Purnomo MH (2006) Early detection on the condition of pancreas organ as the cause of diabetes mellitus by real time iris image processing. In: IEEE Asia Pacific conference on circuits and systemsGoogle Scholar
  6. 6.
    Lai C, Chiu C (2010) Health examination based on iris images. In: Proceedings of the ninth international conference on machine learning and cybernetics, QingdaoGoogle Scholar
  7. 7.
    Ramlee RA, Ranjit S (2009) Using iris recognition algorithm, detecting cholesterol presence. In: International conference on information management and engineeringGoogle Scholar
  8. 8. (2012) Iridology charts. Retrieved 17 Oct 2013, from Nutritional Iridology.
  9. 9.
    Entin Martiana K, Ridho A, Syarifa S, Afgan A (2016) Application for heart abnormalities detection through iris. IES, IEEE. 978-1-5090-1640-2/16Google Scholar
  10. 10.
    Kursat B, Kurnaz C (2016) Detection of high-level cholesterol in blood with iris analysis. IEEE. 978-1-5090-5829-7/16Google Scholar
  11. 11.
    Daugman J (2009) Iris recognition at airports and border-crossings. In: Encyclopedia of biometrics, pp 819–825Google Scholar
  12. 12.
    Daugman J (2004) How iris recognition works. IEEE Trans Circ Syst Video Technol 14(1):21–30CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Computer Science EngineeringVidya Academy of Science and Technology, VASTThissurIndia
  2. 2.Technician-Classroom Technologies, Information Technology CentreUniversity of SharjahSharjahUAE

Personalised recommendations