Hard⏱ time3 hr$ cost0
Letter Recognizer
Extend digit recognition to handwritten letters and read words you write.
Start building ↓
Result first
The build
Step 01
Load letters
Use a labelled handwritten-letter set.
Step 02
Train a model
Build and fit a classifier for A–Z.
Step 03
Add a canvas
Let the user draw a letter.
Step 04
Recognise
Predict the letter live.
Working Principle
Like the digit model, it learns the pixel patterns of each letter, then matches a new drawing to the closest learned letter.
The science behind it
A closer look
More classes (26 letters) make the task harder; confusable pairs like O and Q need more examples.
Take it further
Variables to test
- 1 Find the most-confused letter pair.
- 2 Chain letters to read a short word.
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