Abstract
A biometric system provides an automatic person authentication based on some characteristic features possessed by the individual. Among all other biometrics, the retinal biometric system is unique as well as stable. The retina is a secure and reliable source of person recognition as it lies behind the eye and is unforgeable. The process of recognition mainly includes pre-processing, feature extraction and then feature matching. The features generally used in this process are either blood vessel features or non-blood vessel features. In this paper, different methods available in the literature for retina based person authentication system are described, discussed and compared.
Highlights
With the advancement in technology, the world is exposed to more threats and insecurities
The different methods used for retinal authentication are reviewed
A comparative study is done on the recognition rates, equal error rates, processing time and the numbers of images taken in different methods
Summary
With the advancement in technology, the world is exposed to more threats and insecurities. Traditional authentication systems are either information-based such as a password, a pin or token based like a card, a key In many conditions, these systems are not sufficiently reliable due to their common impotence to individuate between a true authorized user and a user who illicitly procured the privilege of the authorized user. It is required to consider such a biometric characteristic, which cannot be forged but is unique, stable and measurable. This leads to retina based biometric authentication system. A user's requested identity is been authorized by comparing the extracted biometric features with the stored biometric template of the person in the database. This template is sent to a matcher, where the matcher compares the newly presented biometric information with the previously stored template to make a decision
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
