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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 -
Created a grid of all images so tesseract can read them for training and generated tif file for it.
Then i generated box files for the corresponding tif file and corrected the box file for wrongly detected characters.
Then i tried generating - unicharset, font_properties, shapeclustering, mftraining, cntraining.
At shapeclustering i am getting something like -
Bad properties for index 3, char ‘: 0,255 0,255 0,0 0,0 0,0
Bad properties for index 4, char J: 0,255 0,255 0,0 0,0 0,0
Bad properties for index 5, char l: 0,255 0,255 0,0 0,0 0,0
Bad properties for index 6, char I: 0,255 0,255 0,0 0,0 0,0
Bad properties for index 7, char .: 0,255 0,255 0,0 0,0 0,0
ahmed.ba...@gmail.com
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Aug 2, 2017, 9:24:16 AM8/2/17
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I guess you use linux and you make trainng manualy , so
If you are within linux you can use LIOS is very efficase