Synthetic Iris Textured Based

Generation Process:
The synthetic irises are generated in two stages. In the first stage, a Markov Random Field model is used to generate a background texture representing the global iris appearance. In the next stage, a variety of iris features, viz., radial and concentric furrows, collaret and crypts, are generated and embedded in the texture field.

Dataset Size: 
1000 classes with 7 samples per class.

Examples of iris images:

When using synthetic iris images, please cite:
S. Shah and A. Ross, Generating Synthetic Irises By Feature Agglomeration, Proc. of IEEE International Conference on Image Processing (ICIP), Atlanta, USA, October 2006