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The Tesseract OCR engine was one of the top 3 engines in the 1995 UNLV Accuracy test. Between 1995 and 2006 it had little work done on it, but it is probably one of the most accurate open source OCR engines available. The source code will read a binary, grey or color image and output text. A tiff reader is built in that will read uncompressed TIFF images, or libtiff can be added to read compressed images.
GOCR is an OCR (Optical Character Recognition) program, developed under the GNU Public License. It converts scanned images of text back to text files. Joerg Schulenburg started the program, and now leads a team of developers.
A .NET 2.0 Open Source OCR assembly using Tesseract engine.
OCRopus :- The open source document analysis and OCR system featuring pluggable layout analysis, pluggable character recognition, statistical natural language modeling, and multi-lingual capabilities.
Android-literate - Literate for Android combines OCR technology with your Android device's camer
This project is currently just a prototype that combines the optical character recognition (or OCR) software Ocrad with the real-time image processing framework of the ZXing project.
ADMschool (code name : Kishalay) is a project for creating an operating system for use in the schools of west bengal. Though we want to create in 100% free software but it might not be the case practically as our first goal is to give schools some great FOSS alternative to schools in West Bengal.
Scan processing program based on Python and Qt4 GUI. Doscussion forum: http://diybookscanner.org/forum/viewtopic.php?f=3&t=129 Installation: Python (2.5 or 2.6) PyQt4 Babel Downloading the code : Install Mercurial : http://mercurial.selenic.com/wiki/Download Enter in console : hg clone https://artscan.googlecode.com/hg/ artscan Image processing libraries: PIL ImageMagick and PythonMagick GraphicsMagick OpenCV and OpenCV-Python OCR libraries: Tesseract and Ocropus Ocrad Cuneiform
1 build up the framework of ac4j 2 integrate most of useful algorithms and utilities in the field of pattern recognition 3 continue in researching new meathod to break the recent CAPACHA
Automated vectorization of scanned maps