Abstract
Recently, the huge extension of Internet and Internet of Things (IoT) leading to millions of different types of data circulated all over the world. This data need to be secure and acceptable ...
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Recently, the huge extension of Internet and Internet of Things (IoT) leading to millions of different types of data circulated all over the world. This data need to be secure and acceptable for those authenticated persons. So, it is important to develop an efficient and acceptable security approach in order to work at this environment with an acceptable security. This was the main objective of this research. The implemented approach concentrated on Iris recognition, which is an important part of biometrics. This approach including many steps such as: preprocessing, filtering, feature extraction and decision-making. The correlation operation was applied to measure the difference between the two samples. According to a certain threshold, the recognition rate was reached to 76%.
