Izvorni znanstveni članak
https://doi.org/10.24138/jcomss.v16i3.1031
Human Retina Based Identification System Using Gabor Filters and GDA Technique
Shahad Sultan
; puter Engineering Department, C
Mayada Faris Ghanim
; puter Engineering Department, C
Sažetak
A biometric authentication system provides an
automatic person authentication based on some characteristic
features possessed by the individual. Among all other biometrics,
human retina is a secure and reliable source of person
recognition as it is unique, universal, lies at the back of the eyeball and hence it is unforgeable. The process of authentication
mainly includes pre-processing, feature extraction and then
features matching and classification. Also authentication systems
are mainly appointed in verification and identification mode
according to the specific application. In this paper, preprocessing and image enhancement stages involve several steps to
highlight interesting features in retinal images. The feature
extraction stage is accomplished using a bank of Gabor filter with
number of orientations and scales. Generalized Discriminant
Analysis (GDA) technique has been used to reduce the size of
feature vectors and enhance the performance of proposed
algorithm. Finally, classification is accomplished using k-nearest
neighbor (KNN) classifier to determine the identity of the genuine
user or reject the forged one as the proposed method operates in
identification mode. The main contribution in this paper is using
Generalized Discriminant Analysis (GDA) technique to address
‘curse of dimensionality’ problem. GDA is a novel method used
in the area of retina recognition.
Ključne riječi
biometrics, human retina, Gabor filters, GDA, nonvascular, KNN.
Hrčak ID:
243983
URI
Datum izdavanja:
30.9.2020.
Posjeta: 890 *