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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 ...
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 ...
Photo-text, also written as photo/text, is a hybrid form of artistic expression that combines photography and textual elements to convey a message or create a narrative. This combination allows for a multi-dimensional experience for the viewer.
Instead, it appears as the title text of the image, commonly displayed as a tooltip during a mouseover. In a thumbnail the alt text defaults to empty, but a plain picture's alt text defaults to its title text if given and to the picture's file name if not; this default can be overridden with an explicit alt=Alt text option. Title text, like alt ...
This comparison of optical character recognition software includes: OCR engines, that do the actual character identification. Layout analysis software, that divide scanned documents into zones suitable for OCR. Graphical interfaces to one or more OCR engines. Software development kits that are used to add OCR capabilities to other software (e.g ...
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 ...
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