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Project Naptha is a browser extension software for Google Chrome that allows users to highlight, copy, edit and translate text from within images. [1] It was created by developer Kevin Kwok, [2] and released in April 2014 as a Chrome add-on. This software was first made available only on Google Chrome, downloadable from the Chrome Web Store.
Wu Dao's creators demonstrated its ability to perform natural language processing and image recognition, in addition to generation of text and images. [5] The model can not only write essays, poems and couplets in traditional Chinese, it can both generate alt text based on a static image and generate nearly photorealistic images based on ...
After a user marks the text in an image, Copyfish extracts it from a website, video or PDF document. [3] [4] Copyfish was first published in October 2015. [5] [6] Copyfish is not only used in Western countries but despite being available only with an English user interface, is used by many Chinese and Hindi-speaking Chrome users.
While special text encodings for Chinese characters were introduced prior to its popularization, The Unicode Standard is the predominant text encoding worldwide. [114] According to the philosophy of the Unicode Consortium , each distinct graph is assigned a number in the standard, but specifying its appearance or the particular allograph used ...
However, Chinese proper nouns are usually not marked in any style. [19] Recognition of names of people and place in Chinese text can be supported by a list of names. However such a list can never be complete, considering the huge number of places and people all over the world, not to mention their dynamic feature of coming, changing and going.
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
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.
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 ...