A Study on Retina: A Unique Identification Using Stereoscopic Retinal Image

This paper focuses on vessel extraction algorithm for personal identification of retinal blood vessel of both eyes. Blood vessel extraction is an important task for biometric application. Using morphological approaches the vessel extraction is done. Image segmentation is the process of partitioning a digital image into multiple segments (sets of pixels). The operation of partitioning an image into component parts, or into separate objects is our main purpose. This is done by Segmentation process where it subdivides an image into its constituent regions or objects. The level to which the subdivision is carried depends on the problem being solved. The goal of segmentation is to simplify or change the representation of an image into something that is more meaningful and easier to analyze. The objective of Segmentation is to partition an image into regions. This paper proposes biometric application for retinal images. Each individual has unique retinal blood vessels. Thus retinal blood vessels can be used for personal identification. input image is first preprocessed. The pre processed image contains enhanced blood vessels. After pre processing it is taken for vessel extraction followed by feature extraction. Finally it is given to the classifier. There are ways of encoding the iris scan biometric data in a way that it can be carried around securely in a barcode format. As far as anyone knows, the pattern of the blood vessels at the back of the eye is completely unique and stays the same for ones lifetime. Retina scan remains a standard in military and government installations. Its authentication is unquestionable e. g Adhaar Card giving unique identity to each and every individual.