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  2. Project Naptha - Wikipedia

    en.wikipedia.org/wiki/Project_Naptha

    The primary feature of Project Naptha is the text detection function. Running on an algorithm called the “Stroke Width Transform, developed by Microsoft Research in 2008, [7] it provides the capability of identifying regions of text in a language-agnostic manner and detecting angled text and text in images. This is done by using the width of ...

  3. Scene text - Wikipedia

    en.wikipedia.org/wiki/Scene_text

    Text detection is the process of detecting the text present in the image, followed by surrounding it with a rectangular bounding box. Text detection can be carried out using image based techniques or frequency based techniques. In image based techniques, an image is segmented into multiple segments. Each segment is a connected component of ...

  4. Artificial intelligence content detection - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence...

    Artificial intelligence detection software aims to determine whether some content (text, image, video or audio) was generated using artificial intelligence (AI). However, the reliability of such software is a topic of debate, [ 1 ] and there are concerns about the potential misapplication of AI detection software by educators.

  5. Maximally stable extremal regions - Wikipedia

    en.wikipedia.org/wiki/Maximally_stable_extremal...

    An alternative use of MSER in text detection is the work by Shi using a graph model. This method again applies MSER to the image to generate preliminary regions. These are then used to construct a graph model based on the position distance and color distance between each MSER, which is treated as a node.

  6. Optical character recognition - Wikipedia

    en.wikipedia.org/wiki/Optical_character_recognition

    Video of the process of scanning and real-time optical character recognition (OCR) with a portable scanner. Optical character recognition or optical character reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene photo (for example the text on signs and ...

  7. List of datasets in computer vision and image processing

    en.wikipedia.org/wiki/List_of_datasets_in...

    Images, Text Classification, object detection 2007 [29] [30] G. Griffin et al. COYO-700M Imagetext-pair dataset 10 billion pairs of alt-text and image sources in HTML documents in CommonCrawl 746,972,269 Images, Text Classification, Image-Language 2022 [31] SIFT10M Dataset SIFT features of Caltech-256 dataset. Extensive SIFT feature extraction.

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