I am using tesseract (Pytesseract to be exact)on a video and I am trying to get better detections buy trying to train the tesseract on a new font so I found a tutorial at:
https://www.youtube.com/watch?v=1v8BPw0Dn0I
And This tutorial give very simple and straight forward direction on how to do this (posted below):
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 get a segmentation fault on Step 5. Has anyone ever had this issue before? Thank you in advance.
--
You received this message because you are subscribed to the Google Groups "tesseract-ocr" group.
To unsubscribe from this group and stop receiving emails from it, send an email to tesseract-oc...@googlegroups.com.
To view this discussion on the web visit https://groups.google.com/d/msgid/tesseract-ocr/2fee7cdd-16cd-4997-8668-778e4d626c1an%40googlegroups.com.
To view this discussion on the web visit https://groups.google.com/d/msgid/tesseract-ocr/CAJbzG8yL%3DVSKQ5P%2Bxt7G5PAUQ0YSux7erxv%3DLi81GpZAEdatYQ%40mail.gmail.com.