Which of the following has been most effective in Optical Character Recognition. *
Natural Language Processing
Computer Ethics
Computer Vision
Neural networks
Answers
Answer:
The Optical Character Recognition uses Computer Vision.
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Answer:
Concept:
Computer vision is used in the process of optical character recognition (OCR) to find and read text in photographs. Natural Language Processing algorithms can interpret the text and understand the message the document is trying to express by detecting text from documents. The material may also be readily translated into a variety of languages, making it understandable to anybody. OCR, however, goes beyond simply reading text from documents pictures.
Given:
Optical character recognition has been most successful with which of the following.
[A]. Natural Language Processing
[B]. Computer Ethics
[C]. Computer Vision
[D]. Neural networks
Find:
find the answer for the given question
Answer:
The answer is option[C]. Computer Vision
OCR algorithms combine Computer Vision and NLP to recognize text from advertisements, traffic signs, and even grocery brand names, making them an efficient interpretation & translation. While the word "OCR" is typically solely used to refer to document photographs, OCR is frequently referred to as scene text recognition in the real world.
Computer vision is used in the process of optical character recognition (OCR) to find and read text in photographs. Natural Language Processing algorithms can interpret the text and understand the message the document is trying to express by detecting text from document images.
As a result, computer vision now includes document analysis with AI for digitizing documents, which is a rapidly growing area of study.
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