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Journal of Emerging Trends in Computing and Information Sciences >> Call for Papers Vol. 8 No. 3, March 2017

Journal of Emerging Trends in Computing and Information Sciences

Diagnosis of Poor Eyesight based on Support Vector Machine and Artificial Neural Networks

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Author Khaled M.G Noaman, Arafat A.Muharram, Ibrahim A.A. Alqubati
ISSN 2079-8407
On Pages 750-754
Volume No. 5
Issue No. 10
Issue Date November 1, 2014
Publishing Date November 1, 2014
Keywords Support Vector Machine, Neural networks, Short-Sightedness, Long-Sightedness.


Abstract

This research paper provides new methods to diagnose eyesight related problems for the people who have problems in their vision. The paper gives a method for detecting the Myopia (Short-Sightedness) or Hypermetropia (Long-Sightedness) eyesight problem in the vision and to define the problem (if it is found), by getting eyesight distance (SPH) and deviation (CYL) measurements. , whenever the measurements of SPH or CYL are in normal range then there is no problem for physician to diagnose, but when measurements any of each of them are out of normal range then- it is relatively difficult to diagnose and physician take more time to take decision. Because of the importance of eyesight in human anatomy we design an approach to diagnosis this problem using Neural Networks and Support Vector Machines to detect the performance of the methods and to assist physician to take appropriate decision on time.
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