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2. 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)

3. CuneiForm (software) - Wikipedia

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

   CuneiForm Cognitive OpenOCR is a freely distributed open-source OCR system developed by Russian software company Cognitive Technologies. CuneiForm OCR was developed by Cognitive Technologies as a commercial product in 1993. The system came with the most popular models of scanners, MFPs and software in Russia and the rest of the world: Corel ...

4. Handwriting recognition - Wikipedia

   en.wikipedia.org/wiki/Handwriting_recognition

   The data obtained by this form is regarded as a static representation of handwriting. Offline handwriting recognition is comparatively difficult, as different people have different handwriting styles. And, as of today, OCR engines are primarily focused on machine printed text and ICR for hand "printed" (written in capital letters) text.

5. 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.

6. List of datasets in computer vision and image processing

   en.wikipedia.org/wiki/List_of_datasets_in...

   Handwriting samples from the often-confused 4 and 9 characters. Features extracted from images, split into train/test, handwriting images size-normalized. 13,500 Images, text Handwriting recognition, classification 2003 [135] Yann LeCun et al. Omniglot dataset 1623 different handwritten characters from 50 different alphabets. Hand-labeled. 38,300

7. Intelligent character recognition - Wikipedia

   en.wikipedia.org/wiki/Intelligent_character...

   Optical character recognition (OCR) is commonly considered to apply to any recognition technique that reads machine printed text. An example of a traditional OCR use case would be to translate the characters from an image of a printed document, such as a book page, newspaper clipping, or legal contract, into a separate file that could be ...