Showing 5 open source projects for "zend framework 3"

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  • 1

    Devanagari OCR

    Devanagari Optical Character Recognition, Annotation tool

    ...Document Image Analysis. Automatic page segmentation of document images in multiple Indian languages. Identifies pictures, lines, and words in a document scanned at 300 dpi. 3. Multi-lingual annotation. An interface that has transilteration and a soft-keyboard using which multiple languages can be input. The UI also enables users to view the word and character level ground truth of images. To cite this work, please use: "Devanagari OCR using a recognition driven segmentation framework and stochastic language models", Suryaprakash Kompalli, Srirangaraj Setlur, Venu Govindaraju, IJDAR, 2009, Volume: 12, Pg.: 123–138
    Downloads: 2 This Week
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  • 2
    ...One of the reasons was to prepare artificial training and testing data. For this reason we finally created a very simple text to image converter. A Text to Image Converter. Systrem Requirement: .net Framework 4.0 and up 1. Select your Font Type, style and size. 2. First Browse your file, which will contain your text (Supporetd File Type .txt) 3. Select Single or Multi Line option. 4. Select Your output image type (Supported image type .bmp, .jpg and .png.). 5. Click Convert. 6. Folders will be created containing the images in .jpg/.bmp/.png/.tif format.
    Downloads: 2 This Week
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  • 3
    Neuroph OCR - Handwriting Recognition
    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.
    Downloads: 0 This Week
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  • 4
    TCR Neuroph -Text Character Recognition
    TCR Neuroph - Text Character Recognition is java tool developed to recognize scanned text , using Java Neural Network Framework - Neuroph
    Downloads: 0 This Week
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  • 5
    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
    Downloads: 0 This Week
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