Search Results for "artificial intelligence python" - Page 2
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Showing 45 open source projects for "artificial intelligence python"
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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 of computer optical recognition methods. In library: contour recognition; contour vectorisation; matrix letters feature recognition; web based GUI; assembler core on SS3 instruction; xml support; detect page rotation and segmentation;
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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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Processing monocrome images to analyse the morphology. Input: image. Output: skeleton of the picture or class of the recognized object. May function as OCR.
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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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DAT Freight and Analytics - DATDAT Freight & Analytics operates DAT One, North America’s largest truckload freight marketplace; DAT iQ, the industry’s leading freight data analytics service; and Trucker Tools, the leader in load visibility. Shippers, transportation brokers, carriers, news organizations, and industry analysts rely on DAT for market trends and data insights, informed by nearly 700,000 daily load posts and a database exceeding $1 trillion in freight market transactions. Founded in 1978, DAT is a business unit of Roper Technologies (Nasdaq: ROP), a constituent of the Nasdaq 100, S&P 500, and Fortune 1000. Headquartered in Beaverton, Ore., DAT continues to set the standard for innovation in the trucking and logistics industry.
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Scanner/Touchscreen Input Handwriting Recognition Software: A handwriting recognition program for Windows that is able to recognize both images from a scanner and data from a touch screen. It also works as an OCR program.
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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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A Neural network based, handwriting recognition software who's aim is to have a cursive OCR software. Although it is used in handwriting recognition, it can be used as well for creating Neural Networks and learning of those networks.
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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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XWA Scores is an OCR dedicated to the game "XWing Alliance". It's main goal is to convert the scores from a screen capture.
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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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It's a dumb, but lightning fast OCR engine, not using any fancy math to recognize text from screenshots. Aim to recognize 100% of text from screenshot, even if image is affected by jpeg compression or text is affected by antialiasing.
