Abstract

Painless eye disease which manifests as gradual loss of vision is called as glaucoma. The accuracy of clinical\ntechniques is less and early stage detection is not possible. The paper presents an automated detection method that uses\nwavelet features extracted from fundus image and classify them withartificial neural network. Proposed method detect\nglaucoma in very less time and accuracy is 92.8%.