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System of the Real-Time Acquisition and Recognition for Iris Images

机译:虹膜图像实时采集与识别系统

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摘要

Iris recognition is to identify a user based on the iris texture information which exists between the white sclera and the black pupil. Iris recognition system has been in the limelight for high-security biomet-ric applications due to the advantages of non-contact characteristics and the highest recognition performance among biometric systems. Conventional iris recognition systems consist of the iris camera and the processing unit, like a PC or an embedded control box. The iris camera captures the user's iris images and transfers them to the processing unit. In the processing unit, the captured images are processed and recognition is performed. For fast recognition, it is very important to capture the user's focused eye image at fast speed. If not, the total recognition time is increased and it makes the user feel much inconvenience. In previous researches and systems, they use the focusing method which has been used for general landscape scenes without considering the characteristics of iris image. So, they take much focusing time sometimes, especially in the case of the user with glasses. To overcome such a problem, we propose a new iris image acquisition method to capture the user's focused eye image at very fast speed. It can be applicable to the users both with and without glasses.
机译:虹膜识别是基于存在于白色巩膜和黑色瞳孔之间的虹膜纹理信息来识别用户。虹膜识别系统由于具有非接触特性和生物识别系统中最高的识别性能的优势,因此在高安全性生物识别应用中备受关注。传统的虹膜识别系统由虹膜照相机和处理单元(例如PC或嵌入式控制箱)组成。虹膜相机捕获用户的虹膜图像,并将其传输到处理单元。在处理单元中,处理捕获的图像并执行识别。为了快速识别,以快速捕获用户聚焦的眼睛图像非常重要。如果不是这样,则总识别时间会增加,这会给用户带来很多不便。在先前的研究和系统中,他们使用聚焦方法,该方法已用于一般的风景场景,而没有考虑虹膜图像的特性。因此,它们有时会花费大量的聚焦时间,尤其是在戴眼镜的用户的情况下。为了克服这个问题,我们提出了一种新的虹膜图像采集方法,以非常快的速度捕获用户聚焦的眼睛图像。无论有没有眼镜,它都可以适用于使用者。

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