Open Source Handwriting Recognition Software

Browse free open source Handwriting Recognition software and projects for Windows and Mac below. Use the toggles on the left to filter open source Handwriting Recognition software by OS, license, language, programming language, and project status.

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  • 1
    Saber

    Saber

    The cross-platform open-source app built for handwriting

    Saber is the notes app built for handwriting. It's designed to be as simple and intuitive as possible, while still delivering unique features that you'll actually use. Additionally, Saber is available across all your devices, large and small, and syncs between them seamlessly. Only you can access your notes. You can sync your notes across devices knowing that they are encrypted and stored securely, and not even the server can read them. Notably, it can invert your notes when you're in dark mode. This allows you to write with white ink on a black background, which is much easier on the eyes in low-light environments like when the teacher turns off the lights in class. Images and PDFs are also inverted, so you can still use a digital printout or a textbook without the fuss. Saber uses a dual-password system to protect your notes from anyone but you, even if they have complete control over the server.
    Downloads: 13 This Week
    Last Update:
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  • 2
    Jarnal is a plattform-indepenent programm written in Java for notetaking, sketching and PDF-/picture-annotating. It works like a normal notepad with the difference of being digital. It is thought to be used with a stylus on tablet-pcs.
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    Downloads: 4 This Week
    Last Update:
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  • 3

    ShapeRecognition

    Shape recognition for video games using fast algorithms (heuristics).

    This project is a really small software that can be used as a demonstration of my own shape recognition algorithms. There are a process during the shape drawing and a post-processing when it is done. Finally the shape recognition is launched. All the algorithms are done for real time gaming. So they are heuristics and do not give the optimal solution. Yet the given solution is generally a good one. In this demonstration, few shapes can be recognized: * circles * triangles * lines (vertical, horizontal and diagonal) * arcs with horizontal symmetry * lowercase phi letters The code offers the possibility to add its own shapes or even letters recognition. It will be improved to trigger a specific action by shape. The source code will be available in few days.
    Downloads: 0 This Week
    Last Update:
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