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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
Google Goggles was an image recognition mobile app developed by Google.It was used for searches based on pictures taken by handheld devices. For example, taking a picture of a famous landmark searches for information about it, or taking a picture of a product's barcode would search for information on the product.
Graffiti is an essentially single-stroke shorthand handwriting recognition system used in PDAs based on the Palm OS. Graffiti was originally written by Palm, Inc. as the recognition system for GEOS -based devices such as HP's OmniGo 100 and 120 or the Magic Cap -line and was available as an alternate recognition system for the Apple Newton ...
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.
The application is a visual search engine application that utilizes image recognition to photograph, identify, and provide information on any object, at any angle. Its image recognition capabilities make use of CloudSight API. [8] CamFind surpassed 1,000,000 downloads within the first seven months after its release into the Apple AppStore. [9]
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 ...
Optical character recognition (OCR) is commonly considered to apply to any recognition technique that reads machine printed text. An example of a traditional OCR use case would be to translate the characters from an image of a printed document, such as a book page, newspaper clipping, or legal contract, into a separate file that could be ...
CamFind is a visual search and image recognition mobile app developed by Image Searcher, Inc. in 2013 under CEO, Dominik Mazur. [3] [4] The company is based in Los Angeles, California, and centers around image recognition.
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