TITLE:
Automatic Feature Extraction from Ocular Images
AUTHORS:
Ryszard S. Choraś
KEYWORDS:
Retina image, Conjunctiva image, Feature extraction, Gabor transform, Texture features
JOURNAL NAME:
Open Journal of Applied Sciences,
Vol.2 No.4B,
January
10,
2013
ABSTRACT: Ocular images processing is an important task in: i)
biometrics system based on retina and/or sclera images, and ii) in clinical
ophthalmology diagnosis of diseases like various vascular disorders. We
presents a general framework for image processing of ocular images with a
particular view on feature extraction. The method uses the set of geometrical
and texture features and based on the information of the complex vessel
structure of the retina and sclera. The feature extraction contains the image
preprocessing, locating and segmentation of the region of interest (ROI). The
image processing of ROI and the feature extraction are proceeded, and then the
feature vector is determined for the human recognition and ophthalmology
diagnosis.