Advances in Iris Recognition: Transfer Learning and Enhanced Preprocessing

his repository contains the implementation of an iris recognition system based on transfer learning and enhanced preprocessing techniques. The proposed approach improves feature extraction quality and increases recognition accuracy under varying imaging conditions.

The code includes modules for image preprocessing, feature extraction using pre-trained deep learning models, and classification. The preprocessing stage incorporates noise reduction, normalization, and contrast enhancement to improve the quality of iris images prior to feature extraction.

Transfer learning is applied using a pre-trained convolutional neural network (CNN), which is fine-tuned for iris recognition tasks. The system is evaluated on standard iris datasets, demonstrating improved robustness and performance compared to baseline methods.