A fork is based on tess-two and Tesseract OCR Engine. We porting Tesseract 4.0(final) to Android base on tess-two and rewrite dot product function with ARM NEON. And we use openCV to pre-process the photos we need to identify. The project include a full OCR demo App.

This project works with:

• Tesseract 4.0.0
• tess-two 9.0.0
• Leptonica 1.74.3
• libjpeg 9b
• libpng 1.6.25
• openCV 4.0.1

• Android 5.0 or higher

1. Referring to the app module in this project, you can import ocr_zs module into your app project as a library, or add the following dependencies directly, then you can use the full functions of tess4Android. The text types supported by tess4Android are simplified Chinese, English and digital.

    dependencies {
    	implementation 'com.zsmarter:Tess4Android:1.0.1'
    }
   

2. If you only want to use the tess-two interface that supports Tesseract 4.0, you can refer to the ocr_zs module to import the tess-two module into your app project as a library, or add the following dependencies directly. in addition, you should prepare a v3.05 or higher trained data file for a language. Data files must be copied to the Android device in a subdirectory named tessdata.

    dependencies {
        	implementation 'com.googlecode:tess-two-api:1.0.1'
    }
   

If you want to modify the Tess4Android code, you can build the project locally. See BUILDING.md.

Release points are tagged with version numbers. A change to the major version number indicates an API change making that version incompatible with previous versions.

The change log shows what's new in each version.

(C) Copyright 2018, ZSmarter Technology Co, Ltd.

Licensed under the Apache License, Version 2.0 (the "License");
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    http://www.apache.org/licenses/LICENSE-2.0

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