NDLI: Iris the picture of health: Towards medical diagnosis of diseases based on iris pattern

Content Provider	IEEE Xplore Digital Library
Author	Amerifar, S. Targhi, A.T. Dehshibi, M.M.
Copyright Year	2015
Description	Author affiliation: Dept. of Comput. Sci., Shahid Behshti Univ., Tehran, Iran (Amerifar, S.; Targhi, A.T.; Dehshibi, M.M.)
Abstract	Complementary medicine emphasizes therapies which are claimed to improve quality of life, prevent disease, and address conditions that conventional medicine has limited success in curing. Iridology is an alternative medicine technique which examines patterns, colors, and other characteristics of the iris to determine information about a patient's systemic health. The objective of this paper is to validate the use of iridology to find out body's organs abnormalities. The proposed method consists of (i) finding the center of iris and its radius, (ii) mapping iridology chart into extracted iris image, and (iii) geometrical analyzing characteristics of the iris to find out which abnormities may be exist in the patient. Two sets of experiment were conducted which in the first one, performance of the proposed was evaluated on CASIA Iris Image Database; and in the second set, a subjective test was given from an iridologist. It was observed in the course of experiments that the accuracy of the proposed method is comparable with that of given from the iridologist. The results of a case study is demonstrated in this paper which shows a 82% correct classification for subjects who are suffered from kidney problems and 93% correct classification for normal subjects. However, it is necessary to perform extensive studies with diseases that do not have ocular manifestations according to conventional medicine in order to validate iridology as a valid scientific technique.
Starting Page	120
Ending Page	123
File Size	4919094
Page Count	4
File Format	PDF
e-ISBN	9781467391528
DOI	10.1109/ICDIM.2015.7381861
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-21
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Pervasive Healthcare Liver Image Processing Iridology Gradient Vector Flow Biomedical imaging Iris recognition
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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