Hi,
Tesseract seems to post process its prediction.
Here after, what I get after OCRizing images (same font, same size images
generated with text2image):
- an image containing "12345678I" => `123456781`
- an image containing "GLOTHUVFI" => `GLOTHUVFI`
- an image containing "12345678H" => `12345678H`
- an image containing "GLOTHUVFH" => `GLOTHUVFH`
- an image containing "12345678A" => `123456784`
- an image containing "GLOTHUVFA" => `GLOTHUVFA`
It looks like Tesseract doesn't like a word with a some numbers and one
letter at the end. In fact, if the letter looks like a number ("I" and "A"
looks like "1" and "4" respectively), it replaces it by the closest number.
I have tried to tune following parameters without any changement in the
result:
- segment_penalty_dict_frequent_word
- language_model_penalty_chartype
Thanks for any help.
Regards
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