Papers

Heinz Hofbauer, Ehsaneddin Jalilian, Ana F. Sequeira, James Ferryman and Andreas Uhl: "Mobile NIR Iris Recognition: Identifying Problems and Solutions", in Proceedings of the IEEE 9th International Conference on Biometrics: Theory, Applications, and Systems (BTAS2018), 2018.

Software

This package only provides the ground truth (and mask files) for the PROTECT Multimodal Iris DB version 1, the actual database containing the iris images can be requested at: http://projectprotect.eu/dataset.

The software to use this parameter files is the USIT (`manuseg`), the USIT is available at http://www.wavelab.at/sources/USIT.

README

The groundtruth is available only for non-rotated items. The rotated items would have to be preprocessed prior to putting them in the biometric pipeline.

operatorA contains the groundtruth by operator A (Philip Lechenauer)

If you use this data cite the following paper:

Heinz Hofbauer, Ehsaneddin Jalilian, Ana F. Sequeira, James Ferryman and Andreas Uhl : "Mobile NIR Iris Recognition: Identifying Problems and Solutions", in Proceedings of the IEEE 9th International Conference on Biometrics: Theory, Applications, and Systems (BTAS2018), 2018.

Bibtex entry for the paper:

@inproceedings{Hofbauer18b, author = {Heinz Hofbauer and Ehsaneddin Jalilian and Ana F. Sequeira and James Ferryman and Andreas Uhl }, title = {Mobile NIR Iris Recognition: Identifying Problems and Solutions}, year = {2018}, booktitle = {Proceedings of the IEEE 9th International Conference on Biometrics: Theory, Applications, and Systems (BTAS2018)}, pages = {9}, }

Tools required

The manuseg tool from the USIT toolbox is required for the processing of the data, it can be found at: http://wavelab.at/sources/USIT/

This database only contains the groundtruth not the actual iris images, these can be requested at: http://projectprotect.eu/dataset

List of rotated images (not included in data)

002_36_left.tiff
002_41_right.tiff
002_42_right.tiff
002_43_right.tiff
002_44_right.tiff
002_45_right.tiff
002_47_right.tiff
003_40_left.tiff
003_41_left.tiff
003_42_right.tiff
003_47_right.tiff
003_49_right.tiff
005_32_right.tiff
005_33_right.tiff
005_34_right.tiff
005_35_right.tiff
018_06_right.tiff
018_07_right.tiff
018_24_right.tiff
018_47_left.tiff
018_48_left.tiff

Images in the Database

Total number of users is: 28

The number of images used is as follows:

UID	left	right	total
001	11	12	23
002	23	18	41
003	23	22	45
005	23	20	43
006	25	24	49
007	23	25	48
009	16	16	32
010	16	16	32
011	24	24	48
012	24	25	49
013	24	24	48
015	16	16	32
016	8	8	16
017	16	16	32
018	25	24	49
020	16	16	32
021	16	16	32
023	23	23	46
024	16	16	32
025	16	16	32
027	16	16	32
028	16	16	32
029	33	29	62
030	7	8	15
031	10	11	21
037	10	14	24
038	13	13	26
039	16	19	35

ProtMI-GT

Contact:

Heinz Hofbauer (Maintainer)

Description:

This package only contains the masks and parameters to generate the masks.

Download PROTMI-GT:

The data/code is available upon request: