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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
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.
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/
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
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.
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/
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.