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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 ...
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.
Desktop application to split, merge, extract pages, rotate and mix PDF documents. PDF Studio: Proprietary: Yes Yes Yes Yes Full feature PDF editor. Poppler-utils: GNU GPL: Yes Yes Unix Yes Converts PDF to other file format (text, images, html). pstoedit: GNU GPL: Yes Yes Unix Yes Converts PostScript to (other) vector graphics file format. QPDF ...
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.
Recent effort on adaptive information extraction motivates the development of IE systems that can handle different types of text, from well-structured to almost free text -where common wrappers fail- including mixed types. Such systems can exploit shallow natural language knowledge and thus can be also applied to less structured texts.
Optical character recognition, conversion of images of text into characters; Organically moderated and cooled reactor, a type of nuclear reactor; Oxidizable carbon ratio dating, a method of absolute dating; Transvaginal oocyte retrieval, a technique used in vitro fertilization; Oil control ring, a piston ring
Image analysis or imagery analysis is the extraction of meaningful information from images; mainly from digital images by means of digital image processing techniques. [1] Image analysis tasks can be as simple as reading bar coded tags or as sophisticated as identifying a person from their face .
GOCR claims it can handle single-column sans-serif fonts of 20–60 pixels in height. It reports trouble with serif fonts, overlapping characters, handwritten text, heterogeneous fonts, noisy images, large angles of skew, and text in anything other than a Latin alphabet. [2] GOCR can also translate barcodes. [2]
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