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.
翻译：目前,对大多数安全地点而言,高度安全是一个重要的问题,最近的进展增加了高度安全系统的需求。因此,需要高度安全来控制和允许允许允许人员进入高安全地点,增加和扩大常规识别方法的使用。因此,本文件建议采用新的识别方法,使用视网膜图像。为此,在角和两侧应用新的数学函数。为了评价我们使用Dive数据库的40个视网膜图像、STARE数据库的20个正常视网膜图像和当地收集的数据库的140个正常视网膜图像的拟议方法,准确率是99.34%。
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