Difference between revisions of "Introduction of Optical Character Recognition (ORC)" - Rhea

Revision as of 22:18, 4 November 2016

1. Introduction

 Optical character Recognition (OCR) serves as a tool to detect information from natural images and transfer them into machine-coded texts, such as words, symbols and numbers. It is still a hot ongoing search area and some novel algorithms are publishing from time to time. It is pretty interesting and essential to recognize the characters in the image because it could help greatly in some certain area: auto plate number recognition, books and documents scanning, assistive technology for blind and visually impaired users and much more. 
 In this page, I would like to introduce a basic and simple method to transfer typed alphabets or numbers into machine coded texts. 

5. References

• The project is mainly derived from this blog, you can download the full MATLAB function code from its website for fun. It's an open source.
  • http://www.matpic.com/esp/matlab/ocr.html
• I also take some ideas from this project description.
  • http://www.ele.uri.edu/~hansenj/projects/ele585/OCR/OCR.pdf
• Here are some other useful link to OCR that may help you to discover it more in-depth and fundamentally.
  • https://www.mathworks.com/help/vision/ref/ocr.html%7Chttps://www.mathworks.com/help/vision/ref/ocr.html
  • http://www.lmt.ei.tum.de/forschung/publikationen/dateien/Chen2011RobustTextDetectionin.pdf
  • https://www.mathworks.com/help/vision/examples/recognize-text-using-optical-character-recognition-ocr.html
  • http://stackoverflow.com/questions/5558005/simple-text-reader-ocr-in-matlab
  • https://en.wikipedia.org/wiki/Optical_character_recognition#Applications