Training data should include bullet-like characters

[wollmers]

Modern texts especially business documents contain bullet-like symbols e. g. for lists. Also middle dot is used with some frequency. While the recognition results for eng and deu are nearly perfect, the results for these symbols are "random".

For a next release of trained models the training data should be improved in this direction and maybe other symbols as well.

Test image:

Tesseract result with -l eng:

List of vehicles:
* Trucks
* vans
* bicycles
Liste von Fahrzeugen:
e Lastwagen
e Transporter
e Fahrrader

Result with -l deu:

List of vehicles:
« Trucks
« vans
+ bicycles
Liste von Fahrzeugen:
e Lastwagen
e Transporter
e Fahrräder