**3. Results and discussion**

Our final proposed integrated Glaucoma classifier system considers all these proposed features for classification. The structural features are related to the optic disc and cup such as CDR, RDR, and superior and inferior rim thicknesses, which are extracted using template methodology. VRI, the vessel structural feature, and texture features are obtained by wavelet filters. This aspect of incorporating more features has led to improvement of the efficiency of Glaucoma detection which can be seen from comparison of results as shown in **Table 1**. Totally, 120 Glaucoma images and 60 normal images were used from the datasets for comparison.


**Table 1.**

*Results of glaucoma classifier.*
