Recognition of Iris Segmentation Using CNN and Neural Networks

As the first stage of an iris identification system, iris segmentation is important. Iris is regarded as one of the most accurate biometrics. We gathered a huge dataset of iris pictures, purposefully sampling a wider range of quality than that utilized by existing commercial iris identification algorithms. Recent deep learning research suggests that NN has a lot of potential in the field of biometric security. This study discusses iris region segmentation for iris recognition as a biometrical personal identification and verification method. To improve accuracy, we employed CNN and neural networks in our technique.