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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 billboards in a landscape photo) or from subtitle text ...
Website. github .com /tesseract-ocr. 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 ...
Place the image in the center of the page. The article text that follows the image is placed below the image. none Place the image on the left side of the page. The article text that follows the image is placed below the image. Nothing specified, and neither thumb nor frame The image is placed inline with the text, like this. Vertical alignment
Image conversion. A large number of image file formats are available for storing graphical data, and, consequently, there are a number of issues associated with converting from one image format to another, most notably loss of image detail.
Handwriting recognition ( HWR ), also known as handwritten text recognition ( HTR ), is the ability of a computer to receive and interpret intelligible handwritten input from sources such as paper documents, photographs, touch-screens and other devices. [1] [2] The image of the written text may be sensed "off line" from a piece of paper by ...
A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description. Text-to-image models began to be developed in the mid-2010s during the beginnings of the AI boom, as a result of advances in deep neural networks. In 2022, the output of state-of-the-art text-to ...
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