Glaucoma is a condition of irreversible blindness, but early diagnosis and appropriate interventions can enable patients to see for a longer time. This addresses the importance of developing a decision-support system for glaucoma diagnosis. Glaucoma occurs when pressure happens around the eyes, which causes damage to the optic nerves and deterioration of vision. There are different levels of glaucoma disease including blindness. Diagnosis at an early stage allows a chance for therapies that slows the progression of the disease. By using Optical Coherence Tomography (OCT) images and pattern recognition systems, it is possible to develop a support system for doctors to make decisions on glaucoma. Thus, in this recent study we develop an evaluation and support system for the use of doctors. Computer software based on a pattern recognition system would help doctors to carry out objective evaluations for their patients. It is intended that after carrying out the development and evaluation processes of the software, the system will serve for use by doctors in different hospitals.