Search Results for "gnu/linux" - Page 6
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Showing 158 open source projects for "gnu/linux"
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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.
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TCR Neuroph - Text Character Recognition is java tool developed to recognize scanned text , using Java Neural Network Framework - Neuroph
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OCR c++ library. Include: contour recognition; vectorisation; matrix letter feature recognition; auto page segmentation and detect rotation; SS3 ASM core; XML base; web-based GUI; 99,6% printed Unicode text recognition; letter base up to 1200 letters.
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SecureJDMS is the attempt to develop a secure DMS, based on an RCP and (even untrusted) DB for data storage. For now, its all about managing scanned documents and searching them by content (using OCR). All data sent and stored will be strongly encrypted.
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An image postprocessor for the DIY Book Scanner described on instructables.com and diybookscanner.org. Gets images ready for OCR or for PDF. Written in Java based on a partial port of the Leptonica image processing library.
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JOcrad is a graphical frontend for GNU/Ocrad written in Java. GNU Ocrad is an OCR (Optical Character Recognition) program based on a feature extraction method.JOcrad supports italian and english languages, JPG,PNG and GIF images.
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The purpose of this program is to take metadata and full text OCR from ContentDM and export into a database for use in other applications. The application is setup to generate a JPG derivative from either a TIF or JP2 associated with an object.
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Tx2Px is an open source program for rendering text unreadable with OCR programs. Such text may be used on web pages for verification purposes.
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Open Bangla OCR - A BDOSDN (Bangladesh Open Source Development Network) project to develop a Bangla OCR
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Joshi is a program that tries to recognize shapes on an image with a focus on OCR. It converts the image to vector graphics (polylines) and then tries to project these on stored vector graphics, calculating the best match.
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Conjecture is a modular, extensible, open-source C++ framework for Optical Character Recognition (OCR). It is not a single OCR, but rather an extensible collection of OCRs that can be explored, compared, extended and modified within a unified environment
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DigitalEyes is an OCR (Optical Character Recognizer) developed in C/Caml released under GNU GPL by SuM42, as a sophomore project in EPITA.
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Akshara Malayalam OCR is a project for the development of an OCR for printed and handwritten documents in Malayalam language. The inspiration is from similar OCR softwares in other languages etc.
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Classnotes is an OCR intended to translate handwritten scans into text. In order for the program to translate the scans the user must create a handwriting profile by training the OCR with scans.
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An optical character recognition filter for use with postifix or sendmail as a milter. The filter focuses on only processing images that it absolutely has to, this is to conserve computing power and not allow the spammer to use to many resources. Feature
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Waygoer is an OCR program. It is based on contour extraction and momentum transformations. This allows for rotation- and scale-invariant recognition. Waygoer is still at an early stage of development.
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Got any emails with obnoxious inline text? Long text stories with bad formatting? Files that an OCR didn't quite translate right? RTF format files and no easy way to read or modify them? Then eBookFormatter is for you!
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Artificial vision library. Objectives are to make an OCR, fingerprint and face identification as some applications through a general purpose learning and pattern relationships algorithm (Currently performs very basic identification).
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An omnifont OCR software for KDE. Due to the fact that each step of the OCR process can be visualized you can get a quick idea of how OCR works and where the problems lie. However the program may be of minor/no use for end users in its current state.
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Software to fit whole-sentence language models using the principle of maximum entropy. For developers of speech recognizers, text prediction interfaces, OCR, machine translation software.
