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In medical study, retinal image processing plays a vital role in detecting the abnormalities of eye or ocular diseases like Glaucoma and diabetic retinopathy. Glaucoma is one of the two major causes of blindness worldwide, accounting for approximately 13% of visually impaired people. Glaucoma is physiologically described as the deterioration of optic nerve cells, and is characterized by alterations in the optic nerve head and visual field. The measurement of neuro-retinal optic cup-to-disc ratio (CDR) is an important index of Glaucoma, as the increased excavation of the optic cup occurs because of Glaucomatous neuropathy increasing the CDR. Currently, CDR evaluation is manually performed by ophthalmologists. Due to the interweavement of blood vessels with the surrounding tissues around the cup, automatic calculation of optic cup boundary thus being challenging. In this paper, an automatic method for CDR determination using Harris Corner is proposed.