As you probably already know, Optical Character Recognition (OCR) is the electronic conversion of images of typed, handwritten, or printed text into machine-encoded text. The source can be a scanned document, a photo of a document, or a subtitle text imposed on an image. OCR converts such sources into machine-readable text.
Let’s understand how an Ocr Pipeline works before we dig deeper into Transformer Based OCR.
A typical OCR pipeline consists of two modules.
1. A Text Detection Module
2. A Text Recognition Module
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This post first appeared on How To Stop Manual Data Entry And OCR From Stalling Your Intelligent Automation Strategy, please read the originial post: here
