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Showing posts with the label human identification

Automatic Human Recognition Based on the Geometry of Retinal Blood Vessels Network | Chapter 01 | Current Research in Science and Technology Vol. 1

Retinal biometric is a new methodology that increasingly being used, especially for authentication cases required high level of persons identification. Retinal recognition deals with very distinct physical property has, exceptional, very low false acceptance and false rejection rates, and the features that are determined in the retina of eye are more reliable and stable features than those found in other biometrics. This paper presents a new system for personal recognition based on retinal vascular pattern. This system is capable to compensate the effects of eyes rotation and robust to noise and brightness variations. The developed system consists of three main stages (i.e., preprocessing, feature extraction, and matching stage). Preprocessing was used (1) to enhance the retina image, and (2) to extract the vascular network (i.e., Region of Interest); then a set of discriminating local geometric features are extracted, it is a set of local average of vascular densities are pro...