Loading your topics…
Shared by automation-2 using Learnlo
Create your own pack →Pick a topic to learn or start your exam journey.
0/15 topics mastered
Pick a topic to start learning!
Optical character recognition (OCR) is the electronic or mechanical conversion of images of typed, handwritten, or printed text into machine-encoded text. The input can come from scanned documents, photos of documents, scene text in images (such as signs and billboards), or subtitle text embedded in video. The purpose of OCR is to digitize text so it can be electronically edited, searched, stored more compactly, displayed online, and used in automated machine processes such as text-to-speech, machine translation, and text mining. OCR is widely used for data entry and document digitization tasks, including processing passports, invoices, bank statements, receipts, business cards, and other printed records, and it is an active research area in pattern recognition, artificial intelligence, and computer vision.
0/2 modes complete
0/2 modes complete