Handwritten image and its OCR'ed text file

1. Create your own paper document by writing a few numbers and words in 3-4 lines. Do not use cursive writing, instead use capital letters and write as neatly as possible. Here's an example.
2. Create a digital copy of the same (what will you use to create a scanned copy?)
3. Look inside the digital copy and examine it using a hex editor
4. Do an OCR of your digital copy and download a text version of your digital essay. Write down and share what you used to do an OCR on your own handwritten document.
5. Send the digital copy and the text file (created using your OCR effort) to your faculty's email;
6. Create a github repository containing a digital scan of your document and an OCR'ed text file of your document
7. Bring the written document to class; Bring a print out of the OCR'ed text file to class
8. If you do everything as per the steps above, you should end up with a snapshot of a cloned repo directory similar to the image below:

Three Artifacts

Python program

Write your own Python program to count the number of bytes in a text file.

CyberDojo session

Use CyberDojo to execute the program on your personal hand.txt file.

• Go to http://cyberdojo1.kgfsl.com and use 3C071B767B as the session ID
• Alternatively, use the session http://cyberdojo1.kgfsl.com/kata/edit/Cz0e1R