Search results
Results from the WOW.Com Content Network
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.
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. forms processing applications, document imaging management systems, e-discovery systems, records management solutions)
The free cross-platform OCR engine Tesseract is published by Hewlett Packard and the University of Nevada, Las Vegas. 2008 Application Adobe Acrobat starts including support for OCR on any PDF file. [7] 2011 Application Word-frequency lookup Google Ngram Viewer is developed to chart frequencies of words on any source printed from 1950 to 2008 ...
The PDF24 Creator is also able to merge multiple documents to one PDF file and to extract pages. Compressing PDF files to shrink the file size is also possible. Since version 10.0.0 an added toolbox is present as well. Some features of the software include, but are not limited to: [5] [6] Merge multiple PDF into one file
As with Adobe Acrobat, Nitro PDF Pro's reader is free; but unlike Adobe's free reader, Nitro's free reader allows PDF creation (via a virtual printer driver, or by specifying a filename in the reader's interface, or by drag-'n-drop of a file to Nitro PDF Reader's Windows desktop icon); Ghostscript not needed. PagePlus: Proprietary: No
OCRopus is a free document analysis and optical character recognition (OCR) system released under the Apache License v2.0 with a very modular design using command-line interfaces. OCRopus is developed under the lead of Thomas Breuel from the German Research Centre for Artificial Intelligence in Kaiserslautern, Germany and was sponsored by Google.
Most ICR software has a self-learning system referred to as a neural network, which automatically updates the recognition database for new handwriting patterns.It extends the usefulness of scanning devices for the purpose of document processing, from printed character recognition (a function of OCR) to hand-written matter recognition.
hOCR is an open standard of data representation for formatted text obtained from optical character recognition (OCR). The definition encodes text, style, layout information, recognition confidence metrics and other information using Extensible Markup Language (XML) in the form of Hypertext Markup Language (HTML) or XHTML.