//Optical Character Recognition

Optical Character Recognition Researcher

Zero Trust Architecture

Summary

Worked as a research assistant with Dr. Samuel Grieggs, at Indiana University of Pennsylvania, to design an application that intakes an image of a handwritten manuscript to then be translated through Optical Character Recognition. The research goal is to apply computer vision and deep learning networks to perform reliable text translations. I was assigned the job of application development, back-end development with python, and computer vision image processing.

My Contributions

Technologies Used: HTML, CSS, JavaScript, AJAX, Python, File Management, Matplotlib, PyWebView, NumPy

  • Collaborated, one-on-one, with associate professor in research work dedicated to character recognition in hand written manuscripts.
  • Utilized machine learning, computer vision, and artificial intelligence to facilitate the creation of ground truth data from handwritten manuscripts.
  • Developed the backend and the interface for the character recognition software application.