Ground truth for the STUMLA_HMT fingervein database (STUMLA-GR)

Paper

Groundtruth Database

On this page we provide the ground-truth masks for a part (634 samples) in the SDUMLA-HMT fingervein database for direct use (i.e. training segmentation-based CNNs).

Note that the SDUMLA-GR database only contains ground-truth not the original images. The source databases to which the ground truths apply can be found at: http://mla.sdu.edu.cn/info/1006/1195.htm

If you are using this ground-truth masks in your work, please cite the paper:

Bibtex

@incollection{ Jalilian19c,
      author = {Ehsaneddin Jalilian and Andreas Uhl},
      title = {Improved CNN-Segmentation-Based Finger Vein Recognition Using Automatically Generated and Fused Training Labels},
      booktitle = {Handbook of Vascular Biometrics},
      editor = {Andreas Uhl and Christoph Busch and Sebastien Marcel and Raymond Veldhuis},
      year = {2019},
      chapter = {8},
      publisher = {Springer Nature Switzerland AG},
      doi = {https://link.springer.com/chapter/10.1007/978-3-030-27731-4_8},
      isbn = {978-3-030-27731-4},
      pages = {200-223},
      address = {Cham, Switzerland}
}