Open Source Linux Handwriting Recognition Software

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.

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.

Fork of OCR software cuneiform Original software see: https://launchpad.net/cuneiform-linux by Cognitive Technologies and Jussi Pakkanen Other Open Source OCR stuff see * Tesseract by Ray Smith (using the Leptonica image library) * GOCR * OCRAD

This system provides printed and cursive handwriting recognition service as a shared library on GNU/Linux/Unix systems. Until someone writes another client, try the S/HIP: https://sourceforge.net/projects/ship-project/

libcrn is document image processing library written in C++11 for Linux, Windows, Mac OsX and Google Android. It is a toolbox that allows to create easily software such as OCRs and layout analysis tools.

A GUI for OCR programs.

http://omr-ai.sourceforge.net/ described how to use MySQL and PHP for OMR. The PHP scripts were very much dependent on scanned page size and resolution. I have written the OMR page format and PHP scripts which are more flexible in nature. This script used horizontal and vertical guides to identify area to be analysed for MCQ answer checking and also identify and correct tilt. It is tailor made for A4 page size, but resolution can be varied with little impect on results. The answer page and scripts can be modified easily with little change in major functions of the library.

a java based blob extractor. extracts blobs from binary image. CHECK OUT AND SUPPORT MY LATEST ANDROID PROJECTS IN HERE: https://play.google.com/store/apps/developer?id=Deepak+PK

a drawing panel module in java using swing for hand written input based projects. CHECK OUT AND SUPPORT MY LATEST ANDROID PROJECTS IN HERE: https://play.google.com/store/apps/developer?id=Deepak+PK

Obsolete for most. Use the Ink2Text project instead - no Windows needed! A Linux/Unix library providing full cursive & printed handwriting recognition by connecting to a Windows XP Tablet back end. Need Service & client files.

Neuroph OCR - Handwriting Recognition is developed to recognize hand written letter and characters. It's engine derived's from the Java Neural Network Framework - Neuroph and as such it can be used as a standalone project or a Neuroph plug in.

Pegasus Scribble offers both a library and an end-user application to use the digital pen offered by Pegasus Technologies under Linux.

Qt Handwriting Recognizing it's a simple Qt GUI interface of a artificial neural network to provide handwrite recognition. This project use FANN (Fast Artificial Neural Network) on first approach.

RNNLIB is a recurrent neural network library for sequence learning problems. Applicable to most types of spatiotemporal data, it has proven particularly effective for speech and handwriting recognition. full installation and usage instructions given at http://sourceforge.net/p/rnnl/wiki/Home/

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.

Linux drivers for Rolsen MNT-101 (Pegasus Mobile NoteTaker) digital pen.