How to Create Traineddata file For Tesseract 4.1.0 - ocr

Question

I want to recognise the characters of NumberPlate.
How to train the tesseract-ocr for respective number plate in ubuntu 16.04.
Since i don't familiar with training. Please help me to create a 'traineddata' file for recognizing numberplate.
I have 1000 images of number plate.
Please look into it.
Any help would be appreciate.
So I have tried the following commands
tesseract [langname].[fontname].[expN].[file-extension] [langname].[fontname].[expN] batch.nochop makebox
tesseract eng.arial.plate3655.png eng.arial.plate3655 batch.nochop makebox
But it gives error.
Tesseract Open Source OCR Engine v4.1.0-rc1-56-g7fbd with Leptonica
Error, cannot read input file eng.arial.plate3655.png: No such file or directory
Error during processing.
after that i have tried
tesseract plate4.png eng.arial.plate4 batch.nochop makebox
it works but in some plates.
Now in Step 2. I am getting error.
Screenshot is attached.
Plate 4 image for training
Step 1 and Ste p2 display in terminal
File Generated after step 1 and step 2
Content of file generated after step 1 and step 2

Answer 1

Creating .traineddata for Tesseract 4
{*Note : After install tesseract open cmd and do the following.}
Step 1:
Make box files for images that we want to train
Syntax:
tesseract [langname].[fontname].[expN].[file-extension] [langname].[fontname].[expN] batch.nochop makebox
Eg:
tesseract own.arial.exp0.jpg own.arial.exp0 batch.nochop makebox
{*Note:After making box files we have to change or modify wrongly identified characters in box files.}
Step 2:
Create .tr file (Compounding image file and box file)
Syntax:
tesseract [langname].[fontname].[expN].[file-extension] [langname].[fontname].[expN] box.train
Eg:
tesseract own.arial.exp0.jpg own.arial.exp0 box.train
step 3:
Extract the charset from the box files (Output for this command is unicharset file)
Syntax:
unicharset_extractor [langname].[fontname].[expN].box
Eg:
unicharset_extractor own.arial.exp0.box
step 4:
Create a font_properties file based on our needs.
Syntax:
echo "[fontname] [italic (0 or 1)] [bold (0 or 1)] [monospace (0 or 1)] [serif (0 or 1)] [fraktur (0 or 1)]" > font_properties
Eg:
echo "arial 0 0 1 0 0" > font_properties
Step 5:
Training the data.
Syntax:
mftraining -F font_properties -U unicharset -O [langname].unicharset [langname].[fontname].[expN].tr
Eg:
mftraining -F font_properties -U unicharset -O own.unicharset own.arial.exp0.tr
Step 6:
Syntax:
cntraining [langname].[fontname].[expN].tr
Eg:
cntraining own.arial.exp0.tr
{*Note:After step 5 and step 6 four files were created.(shapetable,inttemp,pffmtable,normproto) }
Step 7:
Rename four files (shapetable,inttemp,pffmtable,normproto) into ([langname].shapetable,[langname].inttemp,[langname].pffmtable,[langname].normproto)
Syntax:
rename filename1 filename2
Eg:
rename shapetable own.shapetable
rename inttemp own.inttemp
rename pffmtable own.pffmtable
rename normproto own.normproto
Step 8:
Create .traineddata file
Syntax:
combine_tessdata [langname].
Eg:
combine_tessdata own.
{ *Note : I will use only one image exp0 for creating traineddata.if you want to train more than one image you can train i.e exp1,exp2..expn }
Reference