In Tesseract Ocr,Training with different types of fonts will result in a decrease in recognition rate,how to...
If it is the same type of digital font (such as black body), only training this type of font recognition rate is very high, if I put other types of fonts (such as slender fonts, about 10 types), training will lead to recognition rate decline. How can I put different types of fonts together for training without causing the recognition rate to drop?
One method is to train different types of fonts separately, and finally use the + sign to connect to identify the file(such as eng+num+num2+num3), but it will cause the recognition speed to drop.
Is there any other way to solve this problem? I want to train only one file without using too many training files.
tesseract
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If it is the same type of digital font (such as black body), only training this type of font recognition rate is very high, if I put other types of fonts (such as slender fonts, about 10 types), training will lead to recognition rate decline. How can I put different types of fonts together for training without causing the recognition rate to drop?
One method is to train different types of fonts separately, and finally use the + sign to connect to identify the file(such as eng+num+num2+num3), but it will cause the recognition speed to drop.
Is there any other way to solve this problem? I want to train only one file without using too many training files.
tesseract
Environment, tess-two (com.rmtheis:tess-two:9.0.0) & jTessBoxEditorFX
– anynew
Nov 20 '18 at 4:19
add a comment |
If it is the same type of digital font (such as black body), only training this type of font recognition rate is very high, if I put other types of fonts (such as slender fonts, about 10 types), training will lead to recognition rate decline. How can I put different types of fonts together for training without causing the recognition rate to drop?
One method is to train different types of fonts separately, and finally use the + sign to connect to identify the file(such as eng+num+num2+num3), but it will cause the recognition speed to drop.
Is there any other way to solve this problem? I want to train only one file without using too many training files.
tesseract
If it is the same type of digital font (such as black body), only training this type of font recognition rate is very high, if I put other types of fonts (such as slender fonts, about 10 types), training will lead to recognition rate decline. How can I put different types of fonts together for training without causing the recognition rate to drop?
One method is to train different types of fonts separately, and finally use the + sign to connect to identify the file(such as eng+num+num2+num3), but it will cause the recognition speed to drop.
Is there any other way to solve this problem? I want to train only one file without using too many training files.
tesseract
tesseract
asked Nov 20 '18 at 4:06
anynewanynew
10716
10716
Environment, tess-two (com.rmtheis:tess-two:9.0.0) & jTessBoxEditorFX
– anynew
Nov 20 '18 at 4:19
add a comment |
Environment, tess-two (com.rmtheis:tess-two:9.0.0) & jTessBoxEditorFX
– anynew
Nov 20 '18 at 4:19
Environment, tess-two (com.rmtheis:tess-two:9.0.0) & jTessBoxEditorFX
– anynew
Nov 20 '18 at 4:19
Environment, tess-two (com.rmtheis:tess-two:9.0.0) & jTessBoxEditorFX
– anynew
Nov 20 '18 at 4:19
add a comment |
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Environment, tess-two (com.rmtheis:tess-two:9.0.0) & jTessBoxEditorFX
– anynew
Nov 20 '18 at 4:19