Search Results for "recognition"
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Showing 9 open source projects for "recognition"
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scantailor-experimental
Scan Tailor Experimental is an interactive post-processing tool
Scan Tailor Experimental is an interactive post-processing tool for scanned pages. You give it raw scans, and you get pages ready to be printed or assembled into a PDF or DJVU file. Scanning, optical character recognition, and assembling multi-page documents are out of scope of this project. -
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cuneimusicplus
Optical music recognition library
Optical music recognition library in C++/C -
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LTI-Lib is an object oriented computer vision library written in C++ for Windows/MS-VC++ and Linux/gcc. It provides lots of functionality to solve mathematical problems, many image processing algorithms, some classification tools and much more...
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OpenPR stands for Open Pattern Recognition project and is intended to be an open source library for algorithms of image processing, computer vision, natural language processing, pattern recognition, machine learning and the related fields.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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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.
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Image Cerberus is an image spam detector, based on pattern recognition and image processing techniques. It can be used as a SpamAssassin plug-in or integrated in any other anti-spam filter. It has been widely tested, achieving high performances.
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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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VisAmp is a visually controlled mp3 player. It was initially developed during the "Softwarepraktikum" at the Chair for Image Processing and Pattern Recognition of the University of Freiburg, Germany in 2001.
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A project being an introduction to fuzzy pattern recognition. This is only fuzzy image segmentation, together with an image processing pipeline to operate on colour images.
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