Search Results for "all indian language ocr"

Showing 4 open source projects for "all indian language ocr"

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  • 1
    Provides optical character recognition (OCR) solutions for Vietnamese language.
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    Downloads: 125 This Week
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  • 2
    iText®, a JAVA PDF library

    iText®, a JAVA PDF library

    PDF Library for Developers

    iText is an open-source PDF library available for Java and .NET (C#). iText allows you to effortlessly generate and manipulate standards-compliant PDF documents with a powerful and feature-rich SDK. With iText, you can create archivable and accessible PDFs, split and merge documents, fill and flatten forms, digitally sign documents, and more. iText add-ons enable additional functionality, such as PDF creation from HTML templates, secure redaction, OCR, and much more. The latest...
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    Downloads: 169 This Week
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  • 3
    Stemmer Gujarati

    Stemmer Gujarati

    Offline stemmer for Gujarati , which is one of 22 Indian languages.

    ...Stemming is a process in which affixes are removed form the root word (stem). It relates morphological variant words to corresponding common root. For example "પ્રતિઉપયોગી" is word which has stem " ઉપયોગ". Stemmers are language specific tools. The design of a stemming algorithm requires a significant level of linguistic expertise. There has been lot of significant work in the development and evaluation of stemmer for non-Indian languages, but very less or no significant work has been done on Indian front especially for Gujarati language.The code of this stemmer is based on algorithm designed under guidance of Prof. ...
    Downloads: 0 This Week
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  • 4

    Anumaan

    Open source predictive text entry system from CDAC, Mumbai

    Anumaan is a predictive text entry system developed by CDAC, Mumbai, India. It gives context sensitive text prediction. Hence, it helps in effective text entry. It is intended for people suffering from different kinds of motor disabilities. New version of standalone flavor of Anumaan (Anumaan-standalone-0.2) has been released. Feedback, feature enhancement requests about the application can be sent to ossd[at]cdac[dot]in or predictanumaan[at]gmail[dot]com.
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