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    AuthorKumari, Sonal (1)Munshi, Paridhi (1)Sattaru, Annamnaidu (1)Shah, Hina Rajiv (1)Sharma, Monika (1)Subject
    Data processing (5)
    Digital techniques (5)
    Image processing (5)
    Biometric identification (2)Computer vision (2)Optical pattern recognition (2)Algorithms (1)Computer simulation (1)Content based image retrieval (1)Database management (1)... View MoreDate Issued2008 (2)2011 (2)2012 (1)Has File(s)Yes (4)No (1)

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    Human action recognition in video 

    Kumari, Sonal (Dhirubhai Ambani Institute of Information and Communication Technology, 2011)
    Action recognition is a central problem in computer vision which is also known as action recognition or object detection. Action is any meaningful movement of the human and it is used to convey information or to interact ...
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    Image ranking based on clustering 

    Sharma, Monika (Dhirubhai Ambani Institute of Information and Communication Technology, 2011)
    In a typical content-based image retrieval (CBIR) system, query results are a set of images sorted by feature similarities with respect to the query. However, images with high feature similarities to the query may be very ...
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    Fingerprint image preprocessing for robust recognition 

    Munshi, Paridhi (Dhirubhai Ambani Institute of Information and Communication Technology, 2012)
    Fingerprint is the oldest and most widely used form of biometric identification. Since they are mainly used in forensic science, accuracy in the fingerprint identification is highly important. This accuracy is dependent ...
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    Object classification in images using information slicing 

    Shah, Hina Rajiv (Dhirubhai Ambani Institute of Information and Communication Technology, 2008)
    Human visual system, in real world, identifies objects by their shapes, sizes and colors. More than often we identify objects around us specifically by using contextual knowledge of the objects. For example, an area of ...
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    Single frame superresolution 

    Sattaru, Annamnaidu (Dhirubhai Ambani Institute of Information and Communication Technology, 2008)
    Super-resolving an image from single frame observation image. In many cases more than one low resolution observations may not be available, need high spatial resolution images e.g. medical imaging, remote sensing etc.. We ...

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