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 proposed to define the vesicular network.
Finally, Euclidean distance measure was used in the matching stage. The
proposed system was evaluated on the two publicly available databases: (i)
STARE (Structured Analysis of the Retina) and (ii) DRIVE (Digital Retinal
Images for Vessel Extraction). The test results indicated that the attained
recognition accuracy of the proposed method is 100% for both datasets.
Author(s) Details
Saba A. Tuama
Department of Computer
Science, College of Science, Baghdad University, Baghdad, Iraq.
Loay E. George
Department of Computer
Science, College of Science, Baghdad University, Baghdad, Iraq.
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