I am having images from number plate of vehicles which isn't a standard
font. I have cropped images of characters in number plate. I tried the
following -
1. Created a grid of all images so tesseract can read them for training
and generated tif file for it.
2. Then i generated box
When I use the new traineddata, it will *report **an
**error : cannot find the
chi_sim.traineddata. Does the new traineddata only support the Tess4.0 alpa
release? I use the newest code release.*
在 2017年8月1日星期二 UTC+8下午4:45:07，shree写道：
>
> Ray has uploaded new traineddata files in
>
OK，I will have a try. Thanks
在 2017年8月1日星期二 UTC+8下午4:45:07，shree写道：
>
> Ray has uploaded new traineddata files in
> https://github.com/tesseract-ocr/tessdata/tree/master/best
>
> Why don't you first try recognition with that
>
> ShreeDevi
>
Ray has uploaded new traineddata files in
https://github.com/tesseract-ocr/tessdata/tree/master/best
Why don't you first try recognition with that
ShreeDevi
भजन - कीर्तन - आरती @ http://bhajans.ramparivar.com
On Tue, Aug 1, 2017 at
Hello, Shree:
I'm sorry, but whether can I use more than one unicharset, such as chi_sim
and eng and so on, to finetune the training?
Maybe some special characters can be in other unicharsets. If I find
it/them, maybe I will train my traineddata with more unicharsets, and the
special
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