Iris Segmentation Groundtruth

Database of iris segmentation ground truth (IRISSEG-CC Dataset)

This iris segmentation database contains a mask for each iris image in form of parameters and a method to extract the mask. The parameters define circles (centre and radius) which give the iris boundaries and eyelid masks. Three points of each circle have been manually marked by an operator, which are used to compute the corresponding radius and centre.

Note that the eyelid parametrization was done in a way to ensure the best possible separation of iris and eyelids in the iris region, i.e. outside the iris region the parametrization is not necessarily accurate. Eyelashes information is not included in the segmentation data. An example is as follows:

Only iris segmentation data is provided here, not the original eye image databases, since they are not property of Halmstad University. A link to the actual iris databases is included below, please refer to them in order to obtain the original databases.

References

Please remember to cite the following references on any work made public based directly or indirectly on the IRISSEG-CC Dataset (do not forget also to cite the appropriate publications of the original eye image databases, as indicated by their owners):

1. Heinz Hofbauer, Fernando Alonso-Fernandez, Peter Wild, Josef Bigun and Andreas Uhl, “A Ground Truth for Iris Segmentation”, Proc. 22nd International Conference on Pattern Recognition, ICPR, Stockholm, August 24-28, 2014 (link)

Databases available

Biosec baseline database (iris part)

Groundtruth segmentation files:

Casia Iris V3 Interval database

Groundtruth segmentation files:

MobBIO database (iris train dataset)

Groundtruth segmentation files:

Request password of the files to: Fernando Alonso-Fernandez