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Nowadays high security is an important issue for most of the secure placesand recent advances increase the needs of high-security systems. Therefore,needs to high security for controlling and permitting the allowable people toenter the high secure places, increases and extends the use of conventionalrecognition methods. Therefore, a novel identification method using retinalimages is proposed in this paper. For this purpose, new mathematical functionsare applied on corners and bifurcations. To evaluate the proposed method we use40 retinal images from the DRIVE database, 20 normal retinal image from STAREdatabase and 140 normal retinal images from local collected database and theaccuracy rate is 99.34 percent.

Human Recognition based on Retinal Bifurcations and Modified Correlation Function