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Feature Extraction of Human Retinal Recognition for Biometric Identification using ANN
Objectives: The main objective of this paper is to develop a feature extraction of human retinal recognition for biometric identification using artificial neural networks. Methods/Statistical Analysis: The neural network methodology is used in this paper for the identification purposes. Findings: In this paper, the features of the extracted object, i.e., the retina is being found out. Application/Improvements: The work finds a lot of applications in the biomedical engineering field.
Keywords
Extraction, FAST, Feature, Feature-Point Detection, IRIS, Recognition, Retinal.
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