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These are usually handwritten on the paper containing the text. Symbols are interleaved in the text, while abbreviations may be placed in a margin with an arrow pointing to the problematic text. Different languages use different proofreading marks and sometimes publishers have their own in-house proofreading marks.
Intelligent character recognition (ICR) is used to extract handwritten text from images. It is a more sophisticated type of OCR technology that recognizes different handwriting styles and fonts to intelligently interpret data on forms and physical documents. [1]
Users can open PDF files and use Xournal to highlight in color, type text, and draw diagrams. Xournal uses the Poppler program library to render the PDF files. Annotations can be saved in the program's .xoj file format without modifying the original PDF file. Users can export a separate annotated PDF. [3]
Online handwriting recognition involves the automatic conversion of text as it is written on a special digitizer or PDA, where a sensor picks up the pen-tip movements as well as pen-up/pen-down switching. This kind of data is known as digital ink and can be regarded as a digital representation of handwriting.
iText is a library for creating and manipulating PDF files in Java and . NET.It was created in 2000 and written by Bruno Lowagie. The source code was initially distributed as open source under the Mozilla Public License or the GNU Library General Public License open source licenses.
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.
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