How to Create Traineddata file For Tesseract 4.1.0

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