AGESEG -- Casia Ageing Database Segmentation Ground Truth
This is "The Multimedia Signal Processing and Security Lab", short WaveLab, website. We are a research group at the Computer Sciences Department of the University of Salzburg headed by Andreas Uhl. The short name "WaveLab" already indicates that wavelets are among our favorite tools - we have 15 years of experience in this area. Our research is focused on Multimedia Security including Watermarking, Image and Video Compression, Medical Image Classification, and Biometrics.
This is a manual segmentation of a subset of the Project Peking (Casia) Subject Aging Database. The superset database of iris images should be published as CASIA v5.0 Iris Database at idealtest.
In this database only the ground truth is made available in the form of text files containg the boundary points. These files, along with the original image, can be used with manuseg from the USIT to generate normalized templates and masks.
The segmentation was done by a single operator
The database and first findings are described in more detail in
Selection of users
Adhering to the higher quality sessions according to:
we selected the following sessions:
Some users had to be removed from the segmentation:
The same happened with user 0000 in 2009, the file id was 0001. This was corrected in the selected set.
We choose ten images per eye spaced apart as far as possible in the temporal domain.
Note that some images are temporally closer than others, this was done when blinking in the video sequence would obfuscate large parts of the iris and larger temporal spacing could not be maintained.
Total of 47 users and with left and eye counted separately 94 different eyes, total of 470 images per year.
Tip for usage with caht
Since caht by default uses some fixed parameters it is beneficial to crop the images for caht application.
convert -crop 440x380+100+50
available upon request.