It classifies the given retinal fundus image as normal or abnormal in two stages. The proposed work generate models for recognizing the presence of glaucoma based on open access public dataset of retinal fundus images using machine learning algorithms with the help of image feature descriptors. The field of artificial intelligence is providing many solution's especially in health care domain. In developing countries, due to the scarcity of ophthalmic experts and lab facilities, the needs for eye disease detecting automation system are increased without saying. When the fluid pressure inside the eye (intraocular pressure) increases, the optic nerve get impaired and has doubled the chance for diabetic patients resulting in irreversible loss of vision if not detected in early stages. Matrix/BBox[ 0 -11.Glaucoma is an eye disease that damages the optic nerve which connects the eye to the brain. Advances in Information Security, vol 70. In: Dehghantanha A., Conti M., Dargahi T. \(2018\) Leveraging Support Vector Machine for Opcode Density Based Detection of Crypto-Ransomware. )/DS(font: Helvetica 10.00pt color:#FF0000)/CreationDate(D:20180623212804+00'00')/Rotate 0/Subj(Typewriter)/T(abcd)/CA 1/Rect/DA( /Helvetica 10 Tf)/CreateMethod(Normal)/Contents(Note: For the final published version of the paper please refer to: Baldwin J., Dehghantanha A. Note: For the final published version of the paper please refer to: Baldwin J., Dehghantanha A.
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