Is there any way to improve tesseract OCR with sma

Question

I'm trying to use tesseract-OCR via python-tesseract to read a low resolution font that looks like this:

Unfortunately that image returns

ZIJZHZI

I think the resolution is too low and that is causing problems. I've tried magnifying the image, and cropping it down to individual characters, but neither of these provide much improvement. Is there anything else I should consider doing, preferably something that could be done using the Python Imaging Library? Or should I just give up/train tesseract.

For what it's worth, the PIL has the following built in filters:

BLUR, CONTOUR, DETAIL, EDGE_ENHANCE,
EDGE_ENHANCE_MORE, EMBOSS, FIND_EDGES,
SMOOTH, SMOOTH_MORE, and SHARPEN

Answer 1

I've tried to magnify the image with:

  convert -resize 400% in.bmp out.bmp

And then read it:

  tesseract out.bmp res

The result is correct:

  100