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  2. Language identification - Wikipedia

    en.wikipedia.org/wiki/Language_identification

    There are several statistical approaches to language identification using different techniques to classify the data. One technique is to compare the compressibility of the text to the compressibility of texts in a set of known languages. This approach is known as mutual information based distance measure. The same technique can also be used to ...

  3. Tesseract (software) - Wikipedia

    en.wikipedia.org/wiki/Tesseract_(software)

    Tesseract is an optical character recognition engine for various operating systems. [5] It is free software, released under the Apache License. [1] [6] [7] Originally developed by Hewlett-Packard as proprietary software in the 1980s, it was released as open source in 2005 and development was sponsored by Google in 2006.

  4. Wikipedia:Language recognition chart - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Language...

    Telugu. Telugu has 56 characters (Aksharamulu) including vowels (Achchulu) and consonants (Hallulu). Telugu uses eighteen vowels, each of which has both an independent form and a diacritic form used with consonants to create syllables. The language makes a distinction between short and long vowels.

  5. 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 ...

  6. Image translation - Wikipedia

    en.wikipedia.org/wiki/Image_translation

    Image translation is the machine translation of images of printed text (posters, banners, menus, screenshots etc.). This is done by applying optical character recognition (OCR) technology to an image to extract any text contained in the image, and then have this text translated into a language of their choice, and the applying digital image processing on the original image to get the ...

  7. Scale-invariant feature transform - Wikipedia

    en.wikipedia.org/wiki/Scale-invariant_feature...

    t. e. The scale-invariant feature transform (SIFT) is a computer vision algorithm to detect, describe, and match local features in images, invented by David Lowe in 1999. [ 1 ] Applications include object recognition, robotic mapping and navigation, image stitching, 3D modeling, gesture recognition, video tracking, individual identification of ...

  8. Pareidolia - Wikipedia

    en.wikipedia.org/wiki/Pareidolia

    Pareidolia (/ ˌpærɪˈdoʊliə, ˌpɛər -/; [1] also US: / ˌpɛəraɪ -/) [2] is the tendency for perception to impose a meaningful interpretation on a nebulous stimulus, usually visual, so that one detects an object, pattern, or meaning where there is none. Pareidolia is a type of apophenia. Common examples include perceived images of ...

  9. Text-to-image model - Wikipedia

    en.wikipedia.org/wiki/Text-to-image_model

    Text-to-image model. An image conditioned on the prompt "an astronaut riding a horse, by Hiroshige ", generated by Stable Diffusion, a large-scale text-to-image model released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.