https://github.com/r1me/TTesseractOCR4

Object Pascal binding for tesseract-ocr - an optical character recognition engine
https://github.com/r1me/TTesseractOCR4

Last synced: 2 months ago
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Object Pascal binding for tesseract-ocr - an optical character recognition engine

• Host: GitHub
• URL: https://github.com/r1me/TTesseractOCR4
• Owner: r1me
• License: mit
• Created: 2017-08-07T15:51:34.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2023-07-13T19:50:56.000Z (11 months ago)
• Last Synced: 2024-01-27T14:33:26.333Z (5 months ago)
• Language: Pascal
• Homepage:
• Size: 5.96 MB
• Stars: 133
• Watchers: 22
• Forks: 43
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

Lists

• awesome-ocr - TTesseractOCR4 - Object Pascal binding for tesseract-ocr 4.x. (Software / OCR libraries by programming language)
• awesome-ocr - TTesseractOCR4 - Object Pascal binding for tesseract-ocr 4.x. (7. <a name='Languagedetection'></a>Language detection / 7.3. <a name='OCRlibrariesbyprogramminglanguage'></a>OCR libraries by programming language)

README

        
# TTesseractOCR4

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TTesseractOCR4 is a Object Pascal binding for [tesseract-ocr](https://github.com/tesseract-ocr/tesseract) 4.x - an optical character recognition engine.

## Building examples

Examples were tested in Delphi 10.2.3 (32-bit build for Windows) and Lazarus 1.8 (32-bit build for Windows and Linux in Ubuntu 18.04).

1. Clone this repository to a local folder.

2. Obtain Tesseract 4.x binaries. I recommend using latest version, build from master branch of the tesseract project. 

  - Windows: Precompiled binaries can be found in `lib\tesseractocr-master.zip`. Unpack and copy all DLL files to `bin\`.  

  [*Microsoft Visual C++ 2017 Redistributable x86*](https://go.microsoft.com/fwlink/?LinkId=746571) must be installed on the computer.  

  - Linux: `sudo apt install tesseract-ocr`.  

  This will also install required shared libraries (liblept5 and libtesseract4).

  - Common: Set `{$DEFINE USE_CPPAN_BINARIES}` accordingly in `tesseractocr.consts.pas` if using Tesseract libraries built with CPPAN (defined as default).

3. Download trained language data files from [tesseract-ocr/tessdata/](https://github.com/tesseract-ocr/tessdata/) to `bin\tessdata`.  

All examples in this repository require English data file ([`eng.traineddata`](https://github.com/tesseract-ocr/tessdata/blob/master/eng.traineddata)).  

Additionally `examples\delphi-console-pdfconvert` example requires [`osd.traineddata`](https://github.com/tesseract-ocr/tessdata/blob/master/osd.traineddata) and [`pdf.ttf`](https://github.com/tesseract-ocr/tesseract/blob/master/tessdata/pdf.ttf) files.  

Linux: Tested with language data from [tesseract-ocr/tessdata_fast](https://github.com/tesseract-ocr/tessdata_fast)

4. Open and compile example project: 

   - `examples\delphi-console-simple`. Recognize text in `samples\eng-text.png` and write to console output

   ![delphi-console-simple](examples/delphi-console-simple/delphi-console-simple.png)

   

   - `examples\delphi-vcl-image`  

   ![delphi-vcl-image](examples/delphi-vcl-image/delphi-vcl-image.gif)  

   4 tabs: 

      - Image: View input image

      - Text: Recognized text coded as UTF-8

      - HOCR: Recognized text in HTML format

      - Layout: View page layout (paragraphs, text lines, words...) 

    

   - `examples\delphi-console-pdfconvert`. Convert `samples\multi-page.tif` (multiple page image file) to a PDF file

   - `examples\lazarus-console-simple`. `examples\delphi-console-simple` for Lazarus 

## License

MIT