7 projects for "recognition" with 2 filters applied:

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  • 1
    LaueTools

    LaueTools

    open source python packages for X-ray MicroLaue Diffraction analysis

    LaueTools is an open-source project for white beam Laue x-ray microdiffraction data analysis including tools in image processing, peaks searching & indexing, crystal structure solving (orientation & strain) and data & grain mapping visualisation. Python 3 Code and new features are now at: https://gitlab.esrf.fr/micha/lauetools
    Downloads: 2 This Week
    Last Update:
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  • 2
    OpenPR
    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.
    Downloads: 3 This Week
    Last Update:
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  • 3
    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.
    Downloads: 1 This Week
    Last Update:
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  • 4
    Image Cerberus
    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.
    Downloads: 0 This Week
    Last Update:
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  • 5
    The purpose of this program is to teach a computer to classify plants via their leaves. You just need to input the image of a leaf(acquired from scanner or camera), then the computer can tell you what kind of plant it is.
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    Downloads: 62 This Week
    Last Update:
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  • 6
    ContraCaptcha is a Java-based libary for solving (image-based) captchas. It provides classes for image processing and character recognition. It also includes solvers for some of the popular captcha-systems in use DISCLAIMER: only for learning purpose (;
    Downloads: 0 This Week
    Last Update:
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  • 7
    A handwritten number recognition system was developed by using image processing and neural network technique. The system was developed in Java. Other applications which make use of image processing and neural network technique will be published too.
    Downloads: 0 This Week
    Last Update:
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