Abstract
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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Hiru (2005) Iridology: Mendeteksi Penyakit Hanya dengan Mengintip Mata. Gramedia Pustaka Utama
Jensen B (2005) Science and practice of iridology
Woodward JD, Orlans NM, Higgins PT (2003) Biometrics: identity assurance in the information age. ISBN 0-07-222227-1
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 science
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 systems
Lai C, Chiu C (2010) Health examination based on iris images. In: Proceedings of the ninth international conference on machine learning and cybernetics, Qingdao
Ramlee RA, Ranjit S (2009) Using iris recognition algorithm, detecting cholesterol presence. In: International conference on information management and engineering
NutritionalIridology.com (2012) Iridology charts. Retrieved 17 Oct 2013, from Nutritional Iridology. http://nutritionaliridology.com/charts.html
Entin Martiana K, Ridho A, Syarifa S, Afgan A (2016) Application for heart abnormalities detection through iris. IES, IEEE. 978-1-5090-1640-2/16
Kursat B, Kurnaz C (2016) Detection of high-level cholesterol in blood with iris analysis. IEEE. 978-1-5090-5829-7/16
Daugman J (2009) Iris recognition at airports and border-crossings. In: Encyclopedia of biometrics, pp 819–825
Daugman J (2004) How iris recognition works. IEEE Trans Circ Syst Video Technol 14(1):21–30
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Reshma, P.A., Divya, K.V., Subair, T.B. (2019). Detection of Heart Abnormalities and High-Level Cholesterol Through Iris. In: Pandian, D., Fernando, X., Baig, Z., Shi, F. (eds) Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB). ISMAC 2018. Lecture Notes in Computational Vision and Biomechanics, vol 30. Springer, Cham. https://doi.org/10.1007/978-3-030-00665-5_35
Download citation
DOI: https://doi.org/10.1007/978-3-030-00665-5_35
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-00664-8
Online ISBN: 978-3-030-00665-5
eBook Packages: EngineeringEngineering (R0)