-> Using standard tess api to recognize text:
```
image1 = imread("/home/user/Desktop/src.png");
cv::cvtColor(image1, image1, COLOR_RGB2GRAY);
cv::threshold(image1, image1, 125, 255, THRESH_BINARY);
tesseract::TessBaseAPI *api = new tesseract::TessBaseAPI();
if (api->Init(NULL, "eng")) {
fprintf(stderr, "Could not initialize tesseract.\n");
exit(1);
};
api4->SetImage((uchar*)image1.data, image1.size().width,
image1.size().height, image1.channels(), image1.step1());
char *outText = api->GetUTF8Text();
cout << "outText:" << outText << endl;
```
-> Need to train tesseract to recognize more precisely some symbols
-> Using the guide below:
jTessBox Editor:
https://sourceforge.net/projects/vietocr/files/jTessBoxEditor/
>
> 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 train.my.exp0.tif train.my.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 train.my.exp.tif train.my.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 train.my.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)]" [angle bracket should be here]
font_properties
> Eg: echo "arial 0 0 1 0 0" [angled bracket] 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 train.unicharset
train.my.exp0.tr
>
> Step 6:
> Syntax: cntraining [langname].[fontname].[expN].tr
> Eg: cntraining train.my.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 train.shapetable
> rename inttemp train.inttemp
> rename pffmtable train.pffmtable
> rename normproto train.normproto
>
> Step 8: Create .traineddata file
> Syntax: combine_tessdata [langname].
> Eg: combine_tessdata train.
>
> Move .traineddata file to tesseract programs tessdata directory
> C:\Program Files\Tesseract-OCR\tessdata
>
> Run tesseract for trained fronts
>
> tesseract Test2.png stdout -l train
-> I'm confused with font name, as I dont know the font name...
> 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)]" [angle bracket should be here]
font_properties
> Eg: echo "arial 0 0 1 0 0" [angled bracket] font_properties
-> How to get font name set for TessBaseAPI read with c+ and command line?
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