A New Approach to Biometric Person Identification from Retinal Vascular Patterns

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Provided by: International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
Topic: Security
Format: PDF
In this paper, the authors present a novel method for biometric person identification by using retinal vascular patterns present in the retina. Retinal vascular patterns crossing the optic disk in the eye is a unique feature and varies from person to person. Here, Singular Value Decomposition (SVD) is used for feature extraction and a 7-State Hidden Markov Model (HMM) is used for identification. The blood vessels patterns are segmented from the green-channel fundus image using Gaussian matched filter based segmentation method as Gaussian matched filter segmentation method segment the blood vessels more accurately than the other methods.
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