Nowadays high security is an important issue for most of the secure places
and recent advances increase the needs of high-security systems. Therefore,
needs to high security for controlling and permitting the allowable people to
enter the high secure places, increases and extends the use of conventional
recognition methods. Therefore, a novel identification method using retinal
images is proposed in this paper. For this purpose, new mathematical functions
are applied on corners and bifurcations. To evaluate the proposed method we use
40 retinal images from the DRIVE database, 20 normal retinal image from STARE
database and 140 normal retinal images from local collected database and the
accuracy rate is 99.34 percent.

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