This study used five pre-trained networks, including VGG-16, Inceptionv3, Resnet50, Densenet121, and EfficientNetB7, to recognize iris liveness using transfer learning techniques. These models are compared using three state-of-the-art biometric databases: the LivDet-Iris 2015 dataset, IIITD contact dataset, and ND Iris3D 2020 dataset. Classification of iris flowers using Neural Designer. Classification of iris flowers is perhaps the best-known example in machine learning. The aim is to classify iris flowers among three species (Setosa, Versicolor, or Virginica) from sepals' and petals' length and width measurements. The iris data set contains fifty instances of each of the.