Iris-Recognition

This project concerns the creation of a complete biometric system, based entirely on the use of iris images (in visible wavelength).

The project is mainly structured in two modules:

• Segmentation: the “ISis v.2” method and the “Hough approach” method are proposed (code visible in “SegmentationModule“ directory).
• Feature extraction: several models based on CNNs are proposed, finetuned and trained using a few-shot learning approach, through siamese networks (code visible in “Notebook“ directory).

This project also includes the implementation of a “demo” of the proposed system based on a subset of the proposed models, namely “Hough approach” for segmentation and “featNet” trained from scratch for feature extraction (code visible in “Demo“ directory).

Important note

In each directory there is a more specific README.md file, containing detailed information on how to use that specific code (e.g. in Segmentation directory is explained how to compile the code and how it’s structured)