问题
i'm wondering what is the best method to train Tesseract (kind of text/TIFF and so on) for a particular kind of documents, with these particularities:
- the structure and main text of the documents is always the same
- the only things that change are 5 alphanumeric codes (THIS ARE THE REAL IMPORTANT THING TO DETECT!)
- Some of thes codes are bold
At the moment I used standard trained datas, I detect the entire text and I extrapolate the codes with some regular expressions. It's okay, but I've got errors sometimes, for example:
0 / O
L / I / 1
Please someone knowns some "tricks" to improve precision?
Thanks!
回答1:
during training part of Tesseract, you have to make a file manually to give to the engine in order to specify ambiguous characters.
For more information look at the "unicharambigs" part of the Tesseract documentation.
Best Regards.
来源：https://stackoverflow.com/questions/27170153/best-method-to-train-tesseract-3-02