Hello,
I'm making a simple device used to recognize numbers on pictures taken by a
webcam. All is running on raspberry pi 3.
Everything is like following simple loop (in python for simplicity, but
using C++ api it is the same), images are preprocessed to black and white
api = PyTessBaseAPI(psm=tesserocr.PSM.SINGLE_WORD)
for im in images:
api.SetImage(im)
api.SetSourceResolution(70)
ot = api.GetUTF8Text()
api.End()
My problem is that api.GetUTF8Text() call is quite slow and more over it is
getting slower and slower over time. Is there any options how to make
recognition faster? I have tried to resize the image to around 50x10px. The
times starts on around 300ms but then goes up to above 1s which is too slow
for me. I tried both legacy and LSTM algorithms, but they are similar.
best regards
Jan
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