Ninshiki OCR

A basic Optical Character Recognition program written in C for the third semester of EPITA.

Build

git clone https://github.com/navadta/ninshiki
make
If you want to train a neural network with the ./ocr/build/example/ocr example or in the GUI, you will need to generate a dataset, for this, run ./ocr/build/example/generate_dataset ./resources/dataset <image> by replacing image with the 3 fonts images present in the dataset folder.
- ./ocr/build/example/generate_dataset ./resources/dataset arial.png
- ./ocr/build/example/generate_dataset ./resources/dataset nunito.png
- ./ocr/build/example/generate_dataset ./resources/dataset roboto.png
All of the executable demo files will be in ./ocr/build/example/
The GUI executable file will be in ./gui/build/

Images
- This demo will produce a grayscaled and a binarized version of the input image
- Several images are available in the ./resources path
- Run ./ocr/build/example/images path image_file (./ocr/build/example/images ./resources snoopy.bmp)
Segmentation
- This demo will produce an image with characters, words and lines underlined
- An example text image is available in ./resources/text.bmp
- ./ocr/build/example/segmentation path image_file (./ocr/build/example/segmentation ./resources text.bmp)
XOR Neural Network
- This demo will train a neural network to learn the Bitwise XOR function then it will output some results
- ./ocr/build/example/xor_network activation_function (./ocr/build/example/xor_network 1)
- 1 to use the Sigmoid activation function and 2 for ELU (Exponential Linear Unit)
Dataset Generation
- This demo will generate a dataset as explained in the Build section
OCR Training
- This demo will train a neural network capable of recognizing characters

This demo will open a GUI with multiple functionalities to recognize the text from an image
Run the GUI with ./gui/build/gui