An Efficient Approach to Nephrology through Iris Recognition

Abstract

Iridology is a technique in science for analyzing the structure of the iris. Some region of the iris has special advantageous qualities, along with psychological condition it also reserves the construction of the body and particular organ conditions. The disorder is caused by the level of intensity organs that are stored in a structured and designed pattern in the eyes of the iris. This technique could be utilized for reasonable guidelines for the detection of several disorders. Hence, on analyzing iris image advanced research should be made for detecting the organ condition. By employing an adaptive histogram, firstly the image of the eye must be separated and then change the iris image to a gray level scaled image, the final image is standardized. Later it is converted into a rectangular shape and then assembling the HMM images of eyes related to the kidneys, the final step is to diagnose the edge image of the iris HMM. By analyzing these results, it comes to an end that the best results can be obtained from the iris recognition system.

Conclusion

An Efficient Approach to Nephrology through IRIS Recognition will implement using Machine Learning and MATLAB. It is used as an instruction for checking various kidney problem by checking the iris image. Hence it is used as a real-world criterion for scanning kidney diseases based on iris images. Further study about the condition of the organ is done by checking out the iris images. Here the software is able to do categorizing.

Download Full Abstract: https://iridology-research.com/pdf/SSRN-id3833460.pdf

Authors:

Rohan R
Vidyavardhaka College of Engineering, Mysore

Bhagyalakshmi V
Vidyavardhaka College of Engineering, Mysore

Rashmi H A
Vidyavardhaka College of Engineering, Mysore

Domnick A
Vidyavardhaka College of Engineering, Mysore

Divya CD
Vidyavardhaka College of Engineering, Mysore

Gururaj H L
Vidyavardhaka College of Engineering, Mysore

Affiliation : Vidyavardhaka College of Engineering, Department of Computer Science and Engineering, Gokulum 3rd stage Vijaynagar, Mysuru 570002, India.