OCR (Optical Character Recognition)

General

Optical character recognition, usually abbreviated to OCR, is the mechanical or electronic conversion of scanned images of handwritten, typewritten or printed text into machine-encoded text. It is widely used as a form of data entry from some sort of original paper data source, whether documents, sales receipts, mail, or any number of printed records. It is a common method of digitizing printed texts so that they can be electronically searched, stored more compactly, displayed on-line, and used in machine processes such as machine translation, text-to-speech and text mining. OCR is a field of research in pattern recognition, artificial intelligence and computer vision.

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Departments

The following departments have at least one copy of Abode Acrobat Professional:

  • Admission
  • Alumni Relations
  • Career Services
  • Chemistry
  • Development Services
  • Dining Services
  • English
  • Fine Arts
  • Geology/Geography
  • Human Resources
  • Information Services
  • Journalism
  • Libraries
  • Marketing & Communications
  • Math & Computer Science
  • Music
  • Physics & Astronomy
  • Politics & Government
  • President
  • Print Services
  • Psychology
  • Religion
  • Sagan Academic
  • OWU Junior League
  • Theater & Dance
  • Upward Bound
  • Women & Gender Studies

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Instructions

Here are instructions for converting a PDF image file–such as one scanned by our BizHub MFDs–into searchable and copyable text using Adobe Acrobat 9 Pro for Mac:

  1. Open the document you wish to convert.
  2. Hover over “OCR Text Recognition” in the Document menu and select “Recognize Text using OCR”. (You may also convert more than one file at a time by selecting “Recognize Text in Multiple Files Using OCR…)
  3. Click OK on the Recognize Text window. (You may tweak the settings here if you’d like but the defaults will work fine.)
  4. Acrobat will display a status window at bottom right and, when it is finished, the document will be searchable. You may now select and copy distinct parts of the text.
  5. Save your converted file. It is now ready to be scanned by SafeAssign or used in other ways.

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