  With development of information technology and necessity for high security,
using different identification methods has become very important. Each
biometric feature has its own advantages and disadvantages and choosing each of
them depends on our usage. Retinal scanning is a bio scale method for
identification. The retina is composed of vessels and optical disk. The vessels
distribution pattern is one the remarkable retinal identification methods. In
this paper, a new approach is presented for identification via retinal images
using LBP and hog methods. In the proposed method, it will be tried to separate
the retinal vessels accurately via machine vision techniques which will have
good sustainability in rotation and size change. HOG-based or LBP-based methods
or their combination can be used for separation and also HSV color space can be
used too. Having extracted the features, the similarity criteria can be used
for identification. The implementation of proposed method and its comparison
with one of the newly-presented methods in this area shows better performance
of the proposed method.
