May 1, 2024
3 minute read
Optical character recognition (OCR) is the mechanical or electronic conversion of images of typed, handwritten, or printed text into machine-encoded text. It is widely used as a form of data entry from printed paper data records, whether passport documents, invoices, bank statements, or any other optical document. OCR is a common method of digitizing printed text so that it 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.
Why Learn OCR?
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Find a path to becoming a OCR. Learn more at:
OpenCourser.com/topic/qiziiz/oc
Reading list
We've selected five books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
OCR.
Provides a comprehensive overview of OCR systems, including their design, implementation, and evaluation. It valuable resource for anyone interested in developing or using OCR systems.
Provides a comprehensive overview of computer vision, including OCR. It valuable resource for anyone interested in learning more about this field.
Provides a comprehensive overview of pattern recognition, including OCR. It valuable resource for anyone interested in learning more about this field.
Provides a comprehensive overview of statistical pattern recognition, including OCR. It valuable resource for anyone interested in learning more about this field.
Provides an introduction to using convolutional neural networks for OCR. It valuable resource for anyone who wants to learn how to use this technology for OCR.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/qiziiz/oc