Abstract: Age related macular degeneration is a vision affliction that progresses to the threat of impairment and the damage is caused due to the degeneration of macula. The early detection and diagnosis help to considerably lower the impact of vision loss. Bright lesions called drusen are the cause of age-related macular degeneration. The area of the lesions present in the retina indicates the severity of the disease. The digital picture of retina captured by the colour fundus camera plays a central role for the cost-effective computer – aided screening, diagnosis and follow-up treatment of the mentioned ocular disease. A structured screening simulation method automatically spots and extracts the features from the fundus image and quantify the risk associated with it. The experiment's findings are compared with the ophthalmologist projection. The proposed framework was tested on publicly accessible dataset.