Mausr - Marek's Unicode Symbols Recognizer
Posted
By
Marek Fiser
1 min read
Mausr is a library and web interface that performs unicode symbols recognition from hand drawn input using simple neural network. The symbol recognition library is written from scratch without any ML library and it implements back-propagation learning algorithm as well as basic non-linear optimization algorithms such as gradient descent and iRprop.
Source code is available on GitHub: NightElfik/Mausr
Summary
Unfortunately, I have never got time to write a detailed article about this project and the original website is now down. If you are interested, see the full source code at GitHub.
Highlights of the project are:
- Uses neural network for image recognition, used for unicode symbols search.
- Implements implements back-propagation, gradient descent. and iRprop algorithms.
- Web interface for interactive training and symbol search using hand-drawn inputs
- Ability to collect new training samples from users.
- Statistics about trained model.
Recognition results. 
Interface for training neural nets. Real-time feedback of the training is implemented using signalr library. 
Results of training a neural network. 
Test of optimization functions. 
Drawings of a snowflake from many users.
This post is licensed under CC BY 4.0
by the author.