광학 문자 인식

수학노트
Pythagoras0 (토론 | 기여)님의 2021년 2월 17일 (수) 00:46 판
(차이) ← 이전 판 | 최신판 (차이) | 다음 판 → (차이)
둘러보기로 가기 검색하러 가기

노트

  • 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

메타데이터

위키데이터

Spacy 패턴 목록

  • [{'LOWER': 'optical'}, {'LOWER': 'character'}, {'LEMMA': 'recognition'}]
  • [{'LEMMA': 'ocr'}]
원본 주소 "https://wiki.mathnt.net/index.php?title=광학_문자_인식&oldid=51540"