OCR algorithms are trained in pattern recognition by using examples of texts in various fonts, formats, and handwriting styles. In OCR, feature extraction removes redundant and irrelevant features by detecting and utilizing data patterns for more relevant data processing and analysis. Intelligent character recognition – OCR recognizes characters from images and converts them into actual text characters.Pre-processing aims to improve OCR accuracy in terms of distinguishing a character or word from the background by converting distorted images into correct text and enhancing image features. Pre-processing – OCR preprocesses an image to improve the quality of the text image.An OCR system analyzes the dark areas further to recognize letters and digits. How does OCR work? When an image is analyzed by an OCR system, it recognizes light portions as background and dark areas as characters. The extracted text can be used in Word, Excel, or other similar programs. By extracting data, OCR allows for digital archiving, editing, and document searching.
Documents can also be compressed into zip files, sent as email attachments, or embedded in a website. OCR technology allows users to extract both written and printed data from scanned documents. OCR creates digital copies of scanned hard documents and converts non-editable soft copies into editable text formats. The digital text can be edited, indexed, searched, and displayed online for easy retrieval.
#EASY SCREEN OCR FOR MAC PDF#
OCR scans paper documents, invoices, receipts, and non-searchable PDF files to create a digital copy of any printed text. OCR, or optical character recognition, is a business solution that extracts information from a document and converts it into a machine-readable format that is searchable and editable.
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