Comments (2)
I don't have a good way to do it. As an interesting test, you could try running Firebase's language detection on the output of the English OCR and then run Arabic OCR if it isn't identified as English.
Note that msa
is Malay and not Modern Standard Arabic.
Anyway, the slowness is a normal side effect and not really a bug in this project.
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Thanks for your reply, I switched init different language when OCR different language image。 It looks good.
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Related Issues (20)
- Initializing TessBaseAPI crashes app HOT 2
- How to build tess-two without JNI? HOT 1
- error in Android 7.0 HOT 1
- import tess two error HOT 4
- Arabic trained-data produce 20% accuracy HOT 2
- java.lang.NoSuchFieldError: no "I" field "mNativeData" in class "Lcom/googlecode/tesseract/android/TessBaseAPI;" or its superclasses HOT 2
- java.lang.NoSuchFieldError: no "I" field "mNativeData" in class "Lcom/googlecode/tesseract/android/TessBaseAPI;" or its superclasses HOT 2
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- Could not initialize Tesseract API with language=ces! HOT 2
- Illegible words recognition in Persian lang HOT 2
- Getting different results when using tesseract on mobile vs on PC using Python. HOT 2
- In versions higher than 5.4.1 TessBaseAPI.ProgressNotifier never called HOT 1
- Native crush when 'vert'.tessdata is used HOT 1
- read Jpeg and PNG produce wrong alpha in 32bpp pix HOT 4
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