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2. eScriptorium - Wikipedia

   en.wikipedia.org/wiki/EScriptorium

   The text areas with text lines in the images are first recognized manually or automatically (segmentation). The text lines are then transcribed manually or automatically. [4] Both automatic segmentation and text recognition can be trained using manually created or corrected examples (ground truth). The new models created in this way can be ...

3. Copyfish - Wikipedia

   en.wikipedia.org/wiki/Copyfish

   This Web - software -related article is a stub. You can help Wikipedia by expanding it.

4. Optical character recognition - Wikipedia

   en.wikipedia.org/wiki/Optical_character_recognition

   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 ...

5. Project Naptha - Wikipedia

   en.wikipedia.org/wiki/Project_Naptha

   The OCR enables the build-up of a model of text regions, words and letters from all images. [ 6 ] The OCR technology that Project Naptha adopts is a slightly differentiated technology in comparison to the technology used by software such as Google Drive and Microsoft OneNote to facilitate and analyse text within images.

6. Comparison of optical character recognition software - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_optical...

   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)

7. Tesseract (software) - Wikipedia

   en.wikipedia.org/wiki/Tesseract_(software)

   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.