Search Results for "dav-c" - Page 2
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Showing 48 open source projects for "dav-c"
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Vedvarsha is an application for 2 purposes: 1. Handwariting script recognition that extracts recognized letters into documents. 2. OCR (Optical Character Recogniton) that works only for non-cursive and isolated characters. It depends upon libsyntactic,
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ANPR for National Borders
ANPR for National Borders Systems
...Then it is going to retrieve that number from a database and get the information of the vehicle owner. Note: Please note that you need emgucv installed. you also need to move the project files to: C:\Emgu\emgucv-windows-x86XXX\Emgu.CV.Example\ Please note: that the project was created using visual studio 2003, on windows xp. and it might not run fluently on newer versions. please try to update it. -
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A GUI for OCR programs.
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UCR is a project name for the development of an handwritten characters in Korean language. The goal is to create a UCR Library for handwriting as well as OCR from off-line, on-line data. And we have a plan to build a UCR library for mobile.
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SubHub
Post-OCR correction tool for SRT subtitles
A post-OCR correction tool for SRT subtitle files. -
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The Common OCR Service Interface. COSI is an API that allows developpers to easily bring OCR (Optical Character Recognition) capabilities to image processing applications. COSI supports existing OCR tools such as Tesseract, GOCR or GNU Ocrad.
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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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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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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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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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Tifftool is a high-performance tool to clean scanned documents in preparation for onscreen display or for OCR. Features include skew correction, orientation correction, despeckle, page alignment, split pages and batch processing.
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Primary goal of Imated is development of handwritten/machine printed - OCR system. And second goal is development text editor, that will be in a position to import scanned documents OCR them on-the-fly, edit them and print/save as a picture again.
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When translating becomes a game ! Text to translate can be graphically selected. Several dictionnaries can be sorted according to the context. A large choice of matching strategies is available. The OCR engine is tunable.
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