Abstract
Iris plays a vital role in human life for object identification. Many models and techniques were proposed and suggested for detecting the Iris, but the accuracy was not achieved up to the level and its frequently used for biometric application. The Proposed Work divided into two steps, at first, we detect the entire eye region outer layer by using mathematics first order derivatives by applying combinations of canny edge detection and circular hough transform. The next, we detect the inner portion of eye region that is Iris region is detected by combination of sobel edge detector and circular hough transform, As the results thereby reducing the error rate, marking the edges closest to the actual edges for maximizing the localization, indicating edges and also detect the inner and outer layer of the eye portions accurately. Finally this process is applied for cerebral palsy Children to detect the misalignment of eye and obtain the deviation position and results are compared with normal children eyes. In this context, image processing techniques are being recommended as a performance evaluation tool in cerebral palsy kids.
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This Project is fully supported by DST-SERB (Department of Science and Technology-Science and Engineering Research Board), Grant Number (EMR/2017/000073).
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Author would like to thank the CP Children from Sairam School for differently disable children, Madurai, Tamilnadu and Rejoice special school mentally challenged children, Kanyakumari District, Tamilnadu, supported to collect the statistics information to continue procedure of analysis.
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This study has been approved by the Ethics Committee of the Sairam school and Rejoice special school. All participants provided informed consent for participation in the study.
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Sumathy, G., Arokia Renjit, J. Distance-Based Method used to Localize the Eyeball Effectively for Cerebral Palsy Rehabilitation. J Med Syst 43, 262 (2019). https://doi.org/10.1007/s10916-019-1405-3
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DOI: https://doi.org/10.1007/s10916-019-1405-3