OCR Project Scope

Aug 6th, 2022
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  3. Gain access to DocHub top-notch editing features with a user-friendly interface and change Project Scope in accordance with your needs.
  4. OCR Project Scope and save adjustments.
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How to OCR Project Scope

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The text discusses optical character recognition (OCR), highlighting its significance in pattern and feature recognition. It begins with a playful example of identifying letters, similar to an eye exam. The narrator mentions that, prior to OCR technology, individuals manually transcribed text, which was time-consuming. Ray Kurzweil is noted as a pioneer in the field, developing text recognition technology in the 1970s that could identify printed text in various fonts. Kurzweil's advancements also led to speech synthesis technology that reads printed text aloud. The discussion points out the evolution of OCR, emphasizing improvements in both speed and accuracy over time.

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OCR is a technology that allows machines to read printed text and images. It is often used in business applications, such as digitizing documents for storage or processing, and in consumer applications, such as scanning a receipt for expense reimbursement. OCR stands for Optical Character Recognition.
A complete OCR system consists of a scanner, the recognition component, and OCR software that interacts with the other components to store the computerized document in the computer. The process of inputting the material into the computer begins with the scanner taking a picture of the printed material.
The objective of OCR is to achieve modification or conversion of any form of text or text-containing documents such as handwritten text, printed or scanned text images, into an editable digital format for deeper and further processing. Therefore, OCR enables a machine to automatically recognize text in such documents.
Features of OCR Usually, OCR uses a modular architecture that is open, scaleable and workflow controlled. It includes forms definition, scanning, image pre-processing, and recognition capabilities.
Indexing print material for search engines. Automating data entry, extraction and processing. Deciphering documents into text that can be read aloud to visually-impaired or blind users. Archiving historic information, such as newspapers, magazines or phonebooks, into searchable formats.
Optical character recognition (OCR) systems provide persons who are blind or visually impaired with the capacity to scan printed text and then have it spoken in synthetic speech or saved to a computer file.
Optical Character Reader (OCR) OCR is an input device used to read a printed text. OCR scans the text optically, character by character, converts them into a machine readable code, and stores the text on the system memory.
Optical Character Recognition (OCR) is the process that converts an image of text into a machine-readable text format. For example, if you scan a form or a receipt, your computer saves the scan as an image file. You cannot use a text editor to edit, search, or count the words in the image file.

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