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  • Essentially, OCR is a process our brain performs every day when we read.[1]
  • But if you perform OCR on your documents, you can create a text layer for searching at a later date.[1]
  • But in the case of OCR, there’s no need to render the text.[1]
  • With OCR, a fake (or dummy) font is used to represent the characters present in the document at the scale and position required.[1]
  • Optical Character Recognition, commonly known as OCR, is simultaneously machine-readable and human-readable text.[2]
  • There are different ways to integrate OCR into an application, and different systems for processing OCR-encoded data.[2]
  • Some examples of common OCR fonts include OCR-A, OCR-B, MICR E-13B, and SEMI M12.[2]
  • OCR is now mature enough to grab characters and words from images to extract meaningful information.[3]
  • There can be many use cases (previously unheard of) for OCR.[3]
  • Automatic vehicle number plate recognition is an already existing technology, developed using OCR.[3]
  • OCR can be extremely helpful for professionals dealing with humongous amounts of data like the Medical, Legal professionals.[3]
  • OCR has the ability to convert the most complex of documents with speed and accuracy.[4]
  • OCR is currently at work in a variety of industries, and it's easy to see why.[4]
  • With a variety of advantages that target a multitude of business functions, OCR can make a huge difference in how you handle documents.[4]
  • To learn more about OCR, contact us today![4]
  • The technology that makes this possible is called Optical Character Recognition (OCR).[5]
  • However, today’s OCR engines are sufficiently advanced to read almost any written message.[5]
  • Increased customer loyalty – OCR makes business transactions easier for both parties.[6]
  • In the past OCR systems have been built through traditional pattern recognition and machine learning approaches.[7]
  • There has always been a quest to develop best OCR products which satisfy the user’s needs.[7]
  • Since past few decades soft computing techniques have come up as a promising candidate for the development of cost effective OCR systems.[7]
  • Some important soft computing techniques for optical character recognition (OCR) systems are presented in this chapter.[7]
  • Then the user can store the information in electronic form to a computer or the OCR system itself.[8]
  • OCR stands for Optical Character Recognition.[9]
  • OCR is technology that is used to recognize text that has been turned into an image.[9]
  • OCR stands for Optical Character Recognition or Optical Character Reader.[10]
  • OCR is a technology used to “recognize” or “read” text featured in image files.[10]
  • Currently, Dropbox uses OCR to recognize the text of your PDFs to make them searchable by their contents.[10]
  • Handwriting OCR achieves what traditional OCR never could.[11]
  • Handwriting OCR requires much more advanced technology than traditional OCR.[11]
  • Our OCR solution for Digital Onboarding can be localized across various countries in terms of language, IDs, data models, and structure.[12]
  • That's where optical character recognition (OCR) comes in.[13]
  • Check-printers were designed so they all used that font, and OCR equipment was designed to recognize it too.[13]
  • By standardizing on one simple font, OCR became a relatively easy problem to solve.[13]
  • OCR is a technology that recognizes text within a digital image.[14]
  • Optical character recognition (OCR) is a technology that extracts text from images.[15]
  • OCR doesn’t scan images embedded in attached files, such as Adobe PDF or Microsoft Word documents.[15]
  • Scroll to the the Optical Character Recognition (OCR) setting, in the Compliance section.[15]
  • OCR is used across industries and departments for a variety of business processes due to its flexibility and efficiency as a scanning tool.[16]
  • Rather than manually typing out information from the scan, OCR can pull the characters from the receipt for you.[16]
  • OCR is an important component of evolving tech across industries and business functions.[16]
  • “Storing and sharing the information in an ECM system isn’t the only benefit of OCR.[16]
  • As well as making braille versions of documents, it also does OCR.[17]
  • Total time of OCR system, Tall, includes all of the processes in client, service layer, cloud, and transactions between them.[18]
  • Tall started with OCR triggered by visually impaired person and ends with the starting of the recognized text speech.[18]
  • Optical character recognition (OCR) plays an important role in transforming printed materials into digital text files.[19]
  • OCR was first introduced in the 1990s.[19]
  • What’s the connection between something printed on paper, digital text and OCR?[19]
  • OCR makes it possible to make changes to the digital text.[19]
  • Literally, OCR stands for Optical Character Recognition.[20]
  • Probably the most well known use case for OCR is converting printed paper documents into machine-readable text documents.[20]
  • OCR is often used as a “hidden” technology, powering many well known systems and services in our daily life.[20]
  • Let’s take a look on how FineReader OCR recognizes text.[21]
  • Fortunately, to improve accuracy, there are OCR libraries available online for free.[22]
  • Another industry that works well with OCR is healthcare.[22]
  • Once an OCR scanned document is made accessible on a common database, it is accessible to anyone with access to that database.[22]
  • By using OCR, you can check for variances from the original terms and conditions with your signed contract.[22]
  • OCR is great at transferring text from physical sources directly into a digital document.[23]
  • What’s cool about the ‘Free Online OCR’ is that it supports 46 languages including Italian, Portuguese, Spanish, Japanese and Chinese.[23]
  • Most recently it was rewarded the “Gold Award Winner” and ranked 1# in toptenreviews.com list of OCR Software reviews and comparisons.[23]
  • Developed by Microsoft, Office Lens is another mobile based OCR.[23]
  • OCR systems are made up of a combination of hardware and software that is used to convert physical documents into machine-readable text.[24]
  • The process of OCR is most commonly used to turn hard copy legal or historic documents into PDFs.[24]
  • OCR programs can vary in their techniques, but typically involve targeting one character, word or block of text at a time.[24]
  • OCR programs apply rules regarding the features of a specific letter or number to recognize characters in the scanned document.[24]
  • You don’t need to be an experienced developer or technician to learn about what OCR is and understand how it works.[25]
  • As OCR stands for optical character recognition, OCR technology deals with the problem of recognizing all kinds of different characters.[25]
  • By using OCR you can transform these codes into a digital output.[25]
  • What OCR does not do is consider the actual nature of the object that you want to scan.[25]
  • OCR results depend on the input data quality.[26]
  • OCR is generally an "offline" process, which analyses a static document.[27]
  • A new technique known as iterative OCR automatically crops a document into sections based on page layout.[27]
  • The OCR result can be stored in the standardized ALTO format, a dedicated XML schema maintained by the United States Library of Congress.[27]
  • the major OCR technology providers began to tweak OCR systems to deal more efficiently with specific types of input.[27]

소스

  1. 1.0 1.1 1.2 1.3 Optical Character Recognition in Scanned PDFs
  2. 2.0 2.1 2.2 Optical Character Recognition (OCR)
  3. 3.0 3.1 3.2 3.3 Digitizing Data Using Optical Character Recognition (OCR)
  4. 4.0 4.1 4.2 4.3 Optical Character Recognition
  5. 5.0 5.1 does-optical-character-recognition-really-work-document-solution
  6. What is Optical Character Recognition (OCR)
  7. 7.0 7.1 7.2 7.3 Optical Character Recognition Systems for Different Languages with Soft Computing
  8. Optical Character Recognition (OCR) Systems - Scan
  9. 9.0 9.1 What is Optical Character Recognition (OCR)?
  10. 10.0 10.1 10.2 Online OCR: Image to Text Converter
  11. 11.0 11.1 Handwriting OCR
  12. What is OCR - Optical Character Recognition
  13. 13.0 13.1 13.2 How does OCR document scanning work?
  14. OCR (Optical Character Recognition) Definition
  15. 15.0 15.1 15.2 Use optical character recognition to read images
  16. 16.0 16.1 16.2 16.3 What is Optical Character Recognition (OCR)?
  17. Optical Character Recognition
  18. 18.0 18.1 Optical Character Recognition - an overview
  19. 19.0 19.1 19.2 19.3 How Does Optical Character Recognition Help Kids With Reading Issues?
  20. 20.0 20.1 20.2 What Is OCR And What Is It Used For?
  21. OCR - Optical Character Recognition explained
  22. 22.0 22.1 22.2 22.3 A Comprehensive Guide to Optical Character Recognition (OCR)
  23. 23.0 23.1 23.2 23.3 Top 5 Optical Character Recognition (OCR) Apps And Software
  24. 24.0 24.1 24.2 24.3 What is OCR (optical character recognition)?
  25. 25.0 25.1 25.2 25.3 What is OCR? Introduction to Optical Character Recognition
  26. An Introduction to Optical Character Recognition for Beginners
  27. 27.0 27.1 27.2 27.3 Optical character recognition

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