Training Tesseract 3 to recognize numbers from real images of gas meters

Question

I\'m trying to train tesseract to recognize numbers from real images of gas meters.

The images that I use for training are made with a camera, for this reason there are

Answer 1

I suggest you to:

• use a tool to edit the boxes, such jTessBoxEditor, it's so helpful and let you winning a time. You can install it easily from here
• it's good idea to train the letters of actual situation (noisy, blurred). Your training set is still limited, you can add more training samples.

• I recommend you to use Tesseract's API themselves to enhance the image (denoise, normalize, sharpen...) for example : Boxa * tesseract::TessBaseAPI::GetConnectedComponents(Pixa** pixa) (it allows you to get to the bounding boxes of each character)

  Pix* pimg = tess_api->GetThresholdedImage();

Here you find few examples