Iris Model Based on Local Orientation Description
نویسندگان
چکیده
In recent years, iris recognition has received increasing attention due to its distinct characteristics. This paper proposes a new approach to iris recognition based on local orientation description. In this approach, a bank of Log-Gabor filters are used to capture local orientation characteristics of the iris so as to produce discriminating features. Experimental results show that the proposed method has an encouraging performance and indicate that differences of local details among irises can be well characterized by local orientation information.
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