Skip to content

ksu-hmi/Salutation

Repository files navigation

Salutation

Purpose: The purpose of this project is to create an open-sourced program for use in healthcare facilities to reduce medial errors through absolute patient identification. Salutation will combine facial, voice and fingerprint recognition to identify patients.

Built with: Salutation is built with Python 3 along with the following libraries: OpenCV, NumPy, SKimage, Scipy, and Sklearn. Additionally, we will be using Synfinger to test for fingerprinting due to the lack of proper fingerprinting equipment.

Authors: Gracie Carter, Anusha Nalla, Denise White

Acknowledgements:

About

Biometrics for reduction of medical errors

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 3

  •  
  •  
  •  

Languages