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When was the development of iris recognition techniques?
In biometric identification and authentication systems, iris recognition techniques have been made tremendous growth over the past two decades, since its evolution. The main aim of this paper is to provide a timeline review of various iris recognition techniques, developed since 1993.
How are Iris data used in scientific research?
IRIS data are useful for analyzing the social and economic effects of research investments, the scientific production function, the career outcomes and earnings of doctoral students and trainees, questions pertaining to science and engineering workforce and the STEM pipeline among many other possible topics.
What do you need to know about Iris publishers?
At Iris Publishers, we value the integrity with which authors go beyond the realm of human imagination... Iris Publishers, we like to give recognition those who have made outstanding contributions to science. To all such... Iris Publishers is deeply committed in building a community of motivated researchers who regularly create manuscripts...
How to create a fuzzy decision tree in Iris?
This paper presents a method to construct fuzzy decision tree. It proposes a fuzzy decision tree induction method in iris flower data set, obtaining the entropy from the distance between an average value and a particular value. It also presents an experiment result that shows the accuracy compared to former ID3.
Last Update: Oct 2021
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