Abstract
With the immense acceptance and adoption of personal identification using biometrics, exigency of a reliable, faster and less expensive authentication process has arrived. In this novel work, we have attempted to exhibit some crucial features of human retina which are sufficient to build a secured biometric template in considerable amount of time, ignoring the other hazardous factors which may lead to even authentication failure. Experimental results prove that this proposed work would be able to identify the distinct bifurcation points in retinal fundus image, avoiding the crossovers consciously as they are not anatomically stable and could change their locations as an effect of some diseases. This work will reduce the complexity of any authentication algorithm drastically by concentrating only on existing bifurcations, ignoring tedious calculations on every junction points.
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Roy, N.D., Suchismita Goswami, Sushmita Goswami, Sohini De, Arindam Biswas (2017). Extraction of Distinct Bifurcation Points from Retinal Fundus Images. In: Mandal, J., Satapathy, S., Sanyal, M., Bhateja, V. (eds) Proceedings of the First International Conference on Intelligent Computing and Communication. Advances in Intelligent Systems and Computing, vol 458. Springer, Singapore. https://doi.org/10.1007/978-981-10-2035-3_45
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DOI: https://doi.org/10.1007/978-981-10-2035-3_45
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