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Individual identity authentication is currently one of the most important components in a wide range of applications. As a consequence, the iris-based biometric technology has piqued the curiosity of many in this field. This high level of interest originates from its high level of accuracy and potentially promising applications. This article focuses on the various studies that have been done on the subject, as well as the various approaches that make up the biometric system based on iris recognition. Methodologies or methods for segmentation, feature extraction, and matching are given special attention. For matching, we employ two different classification methods in our research. ANFIS and k nearest neighbour are the strategies. The iris is located using morphological methods.