Optical character recognition 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 or from subtitle text superimposed on an image. The four major techniques includes: Pre-Processing, Text Recognition, Post-Processing & Application-Specific Optimizations. OCR software technology is being used by several industries that are marred by problems as data unusability, inaccuracy, and loss. The global optical character recognition market size is expected to reach $26.31 billion by 2028, at a CAGR of 16.7% from 2021 to 2028.
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data, Data Domain, dataasset, datadefinition, dataentry, datainaccuracy, dataloss, dataunusability, electronicconversion, Forbes, IDC, knowyourdata, KYD, mechanical, mechanicalconversion, numberplaterecognition, OCR, opticalcharacterrecognition, pencomputing, postprocessing, preprocessing, RZOLUT, software, technology, textrecognition, trafficsignrecognition, visualblog