Ocular Disease Diagnosis Based On LBP and
D Preethi · 2014
The earlier generation biometric security included writing and hand geometry, these methods are slowly becoming obsolete since they can be altered and manipulated. Various biometric features such as facial shape, hand shape fingerprint, sound characteristics and iris recognition have been proposed for human identification. Iris recognition is one of the most advanced technologies today than figure print recognition. This paper examines the effect of eye pathology on iris recognition and in particular whether eye disease could cause iris recognition systems to fail. LBP and Gabor filter Feature extraction technique are applied to extract unique features. This proposed iris recognition should be used to solve the potential problems that could cause in key biometric technology and medical diagnosis.