In Tesseract Ocr,Training with different types of fonts will result in a decrease in recognition rate,how to...












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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.










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  • Environment, tess-two (com.rmtheis:tess-two:9.0.0) & jTessBoxEditorFX

    – anynew
    Nov 20 '18 at 4:19
















0















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.










share|improve this question























  • Environment, tess-two (com.rmtheis:tess-two:9.0.0) & jTessBoxEditorFX

    – anynew
    Nov 20 '18 at 4:19














0












0








0








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.










share|improve this question














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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asked Nov 20 '18 at 4:06









anynewanynew

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  • 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





Environment, tess-two (com.rmtheis:tess-two:9.0.0) & jTessBoxEditorFX

– anynew
Nov 20 '18 at 4:19












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