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- Optical character recognition (OCR)Character recognition from image is a process of extracting text from image into machine-encoded text1. It can be done by using optical character recognition (OCR)21, which involves two types of algorithms: pattern recognition and feature detection3. Pattern recognition compares the text in the image with common patterns, while feature detection applies rules based on the features of each letter or number3. OCR also performs preprocessing to make the text clearer and character isolation to separate the characters2.Learn more:✕This summary was generated using AI based on multiple online sources. To view the original source information, use the "Learn more" links.Optical character recognition or optical character reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene photo (for example the text on signs and billboards in a landscape photo) or from subtitle text superimposed on an image (for example: from a television broadcast).en.wikipedia.org/wiki/Optical_character_recognition
Optical Character Recognition (OCR) extracts text from image
- 1 Preprocessing The OCR system attempts to make the text in the image clearer by ensuring the the lines of text are properly aligned smoothing out the pixels.
optiic.dev/tools/ocrThe recognition of characters is carried out by using one of the following two types of algorithms:
- Pattern recognition. The pattern recognition algorithm involves inserting text in different fonts and formats into the OCR software. ...
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