In this procedure, a gender categorization and authentication system have been implemented using ear biometrics. A lot of real-world applications need for the ability to recognise people and categorise them as male or female. The fundamental reference point for identifying a person has been thought to be the earhole. In order to determine the relative distances (Euclidean distance) amongst the ear identifying spots (ear features) and the ear hole, the features are taken. The outer lobe edge, the outer and inner curves of the helix, along with edges are taken into consideration. For the categorization, we used a dataset with both male and female participants. The major goal of this technique is to identify a person and determine their gender using a photograph of their ears.Moreover, to increase the process' accuracy and decrease the ear region's feature mismatching.

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