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 many problems: poor images resolution, blurred images, poor lighting or low contrast as a result of the overexposure, reflections, shadows, etc...
For training, I have created a large image with a series of digits captured by the images of the gas meter and I manually edited the file box to create the .tr files. The result is that only the digits of the clearer and sharper images are recognized while the digits of blurred images are not captured by tesseract.
