• G. Satya Sri
• SK. Hasseb
• K. Satya Rahul

Eye is the important part in human body which is used to see the world. Most of the people donate eye after their death to help the people who need eye transplantation. This paper presents an independent iris recognition method to analyse genuine and impostor comparison scores and check the dynamics of iris quality decay over a period of up to 814 hours after death. The method we are going to use is Monros Iris recognition method in which first DCT (Discrete Cosine Transformation) is applied for the transformation of the image, later iris segmentation and normalization is performed to separate iris from the pupil. The resultant iris codes are compared between two images the variations in the values decides the condition of eye. So it gives clear information about the damage of eye and weather it is useful for transplantation or not. In some cases after the eye are donated, stored in the eye bank may damage due to improper preservation, so we can use this method to find the damage and if possible it can reduced by using proper preservatives

Discrete Cosine Transformation, Iris Recognition, Transplantation.

"IRIS RECOGNITION USING MIRLIN METHOD", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 4, page no.353-362, April-2020, Available :http://www.jetir.org/papers/JETIR2004253.pdf

"IRIS RECOGNITION USING MIRLIN METHOD", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 4, page no. pp353-362, April-2020, Available at : http://www.jetir.org/papers/JETIR2004253.pdf