Infant-Prints: Fingerprints for Reducing Infant Mortality

Abstract

In developing countries around the world, a multitude of infants continue to suffer and die from vaccine-preventable diseases, and malnutrition. Lamentably, the lack of any official identification documentation makes it exceedingly difficult to prevent these infant deaths. To solve this global crisis, we propose Infant-Prints which is comprised of (i) a custom, compact, low-cost (85 USD), high-resolution (1,900 ppi) fingerprint reader, (ii) a high-resolution fingerprint matcher, and (iii) a mobile application for search and verification for the infant fingerprint. Using Infant-Prints, we have collected a longitudinal database of infant fingerprints and demonstrate its ability to perform accurate and reliable recognition of infants enrolled at the ages 0-3 months, in time for effective delivery of critical vaccinations and nutritional supplements (TAR=90% @ FAR = 0.1% for infants older than 8 weeks).

Cite

Text

Engelsma et al. "Infant-Prints: Fingerprints for Reducing Infant Mortality." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2019.

Markdown

[Engelsma et al. "Infant-Prints: Fingerprints for Reducing Infant Mortality." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2019.](https://mlanthology.org/cvprw/2019/engelsma2019cvprw-infantprints/)

BibTeX

@inproceedings{engelsma2019cvprw-infantprints,
  title     = {{Infant-Prints: Fingerprints for Reducing Infant Mortality}},
  author    = {Engelsma, Joshua J. and Deb, Debayan and Jain, Anil K. and Bhatnagar, Anjoo and Sudhish, Prem Sewak},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2019},
  pages     = {67-74},
  url       = {https://mlanthology.org/cvprw/2019/engelsma2019cvprw-infantprints/}
}