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Retina based biometric identification using SURF and ORB feature descriptors
Shalaka Haware,
Published in Institute of Electrical and Electronics Engineers Inc.
2017
Volume: 2017-January
   
Pages: 1 - 6
Abstract
Biometric technologies are the automated procedures for validating and identifying the originality of an individual. The biometric systems for automatic authentication are fingerprint, iris, retina, voice, hand geometry recognition. Nowadays, the retina recognition has received an importance, as the unique characteristics of the retina. In the acquisition method, the retinal images might experience some deformations like a change in background intensity, rotation and scale etc. These troubles may disturb the feature extraction process, as a result of the identification process. The Optical Disc Ring (ODR) is used as a preprocessing method. Subsequently, the Speeded Up Robust Feature (SURF) is employed. It is fast as well as vigorous. Oriented FAST and Rotated and BRIEF (ORB) is also used as a feature extraction process. ORB is efficient, unaffected by noise and rotation invariant. The true acceptance rate for SURF and ORB is 98.148 percent. © 2017 IEEE.