Next week, we’ll incorporate image alignment with Optical Character Recognition (OCR), allowing us to create a document, form, and invoice scanner that aligns an input image with a template document and then extracts the text from each field in the document. Today, we’ll be covering the fundamentals of image registration and alignment. In the context of this tutorial, we’ll be looking at image alignment through the perspective of document alignment/registration, which is often used in Optical Character Recognition (OCR) applications. From there OCR algorithms can read the text from each individual field. We first align the input image to a template of the document we want to scan. Optical Character Recognition (OCR): Image alignment (often called document alignment in the context of OCR) can be used to build automatic form, invoice, or receipt scanners.Military: Automatic Target Recognition (ATR) algorithms accept multiple input images of the target, align them, and refine their internal parameters to improve target recognition.From there the doctor can read the results and provide a more accurate diagnosis. To help doctors and physicians better interpret these scans, image registration can be used to align multiple images together and overlay them on top of each other. Medical: MRI scans, SPECT scans, and other medical scans produce multiple images.Image alignment and registration have a number of practical, real-world use cases, including: In this tutorial, you will learn how to perform image alignment and image registration using OpenCV.
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