Application for AI-OCR Module: Auto Detection of Emails/Letter Images

Authors

  • Kelsey Fargas University of Southern California
  • Bingjie Zhou University of Southern California
  • Elizabeth Staruk University of Southern California
  • Sheila Tejada University of Southern California

DOI:

https://doi.org/10.1609/aaai.v31i1.10557

Keywords:

Education, OCR, machine learning

Abstract

The purpose of this project is to provide instructions for teaching the Artificial Intelligence topic of supervised machine learning for the task of Optical Character Recognition (OCR) at various levels of a student’s undergraduate curriculum, such as basic knowledge, novice, and intermediate. The levels vary from beginner with a slight background in computing and computer science to intermediate with a better understanding of computer science fundamentals and algorithms.

AAAI-2017 Proceedings Cover

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Published

2017-02-12

How to Cite

Fargas, K., Zhou, B., Staruk, E., & Tejada, S. (2017). Application for AI-OCR Module: Auto Detection of Emails/Letter Images. Proceedings of the AAAI Conference on Artificial Intelligence, 31(1). https://doi.org/10.1609/aaai.v31i1.10557

Issue

Vol. 31 No. 1 (2017): Thirty-First AAAI Conference on Artificial Intelligence

Section

EAAI Symposium Poster Paper