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:camera: Computer-Vision Demos
| Date | Stars |
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| 2026-07-24 | 272 |
| 2026-07-25 | 272 |
| 2026-07-28 | 272 |
| 2026-07-30 | 272 |
| 2026-07-31 | 272 |
| 2026-08-06 | 272 |
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# OpenCV Character Recognition A Windows Forms application for OCR text extraction from images using [EmguCV](https://github.com/emgucv/emgucv) and [Tesseract](https://github.com/tesseract-ocr). ## About This Project This project was originally created ten years ago and remained unchanged since then. In 2025 I decided to modernize it and remove the cumbersome manual EmguCV/OpenCV installation process. The new version uses NuGet packages instead, making setup much simpler. ## Features - OCR text extraction from images - Support for multiple image formats (JPG, PNG, GIF, BMP) - Modern async/await patterns for responsive UI - No manual environment setup required - All dependencies managed through NuGet ## Requirements - Windows 10 or later - .NET 10 SDK - Visual Studio 2022 or VS Code with C# Dev Kit ## Setup No manual environment configuration needed. The build process automatically downloads required Tesseract language data. ```bash git clone https://github.com/brakmic/OpenCV.git cd OpenCV dotnet build ``` The first build will download tessdata files automatically. ### Additional Languages By default, only English language data is downloaded. To use other languages, download them manually using the provided script. Example for German: ```bash pwsh -ExecutionPolicy Bypass -File scripts/Download-Tessdata.ps1 -TessdataPath CharacterRecognition/tessdata -Language deu ``` Then update the `Language` property in `CharacterRecognition/appsettings.json` to match your chosen language code. Available language codes: `eng`, `deu`, `fra`, `spa`, `ita`, `por`, and [many more](https://github.com/tesseract-ocr/tessdata). ## Running the Application ```bash dotnet run --project CharacterRecognition/CharacterRecognition.csproj ``` Or open `OpenCV.sln` in Visual Studio and press F5. ## Usage 1. Start the application 2. Load one of the sample images from the **Assets** folder (these are invoice documents) 3. Click on **Analyze** and wait for the OCR task to complete 4. View the extracted text in the result window  ## Technical Details - **Framework**: .NET 10 - **UI**: Windows Forms - **OCR Engine**: Tesseract 4 via EmguCV 4.12 - **Architecture**: x64 ## License [MIT](LICENSE)
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:8d17487bee53e8d1, topic:computer-vision, topic:opencv, desc:computer vision
matched fp:8d17487bee53e8d1, topic:ocr, readme:ocr