An Algorithm for Retinal Feature Extraction Using Hybrid Approach

Today, in the era of cutting-edge technology, demand for the reliable security system is increasing and so the biometric based authentication system. Several biometric based systems such as fingerprint and face recognition are used in various applications such as security devices and forensic identification. Human retina is one of the wellspring of biometric system which gives the most reliable and efficient method for authentication. Even in the medical science, ophthalmologist considers the changes in the retinal vessels as many retinal diseases are characterized by it. Retina feature extraction is a challenging task. In this paper, an easy and reliable method is proposed for retinal feature extraction. The concept of line tracking is used for the binarization of input retina image. A hybrid method of morphology and scanning window analysis (SWA) is applied for obtaining reliable result. Also, the validation of proposed method is checked against the database of 55 images of eyes with healthy, glaucomatous, and diabetic retinopathy.