A Survey on Identification of Glaucoma, Exudates using Retinal Scan and Wavelet Filters

This paper is mainly based on the study of fundus image classification using Retinal scan and features of wavelet. Distribution of energy over thewavelet bands is applied to find these important texture features in the internal part of eye. Iris recognition is relatively a new biomedicine technology. Iris recognition is proving to be one of the most reliable biometric technologies for personal identification. It is also used for an efficient detection of exudates for retinal vascular disorder analysis. This performance will be automatically analyzed by artificial neural network model. In this analysis we observed an accuracy of 93% using validation to explain the effectiveness.