#Raster scan image python how to
#Raster scan image python registration

#Raster scan image python registration

There are a number of image alignment and registration algorithms: How can OpenCV help with image alignment and registration? While we’re examining image alignment and registration from an OCR perspective, be aware the same principles hold for other domains too.

#Raster scan image python how to

For now though, we’ll only be learning how to align a form with its template as an important pre-processing step before applying OCR. In next week’s tutorial, you’ll learn how to OCR each of the individual fields from the input document and associate them with the fields in the template. I have partially filled out a W-4 form with faux data and then captured a photo of it with my phone (middle).įinally, you can see the output image alignment and registration on the right - notice how the input image is now aligned with the template. In Figure 1 ( left) we have a template of a W-4 form, which is a United States Internal Revenue Service (IRS) tax form that employees fill out so that employers know how much tax to withhold from their paycheck (depending on deductions, filing status, etc.). I know - you thought you were done with the W-4 forms until next tax season. We have an empty form ( left), a partially completed form that is out of alignment ( middle), and our processed form that has been aligned by our algorithm ( right). To learn how to perform image alignment and registration with OpenCV, just keep reading.įigure 1: We have three scans of the well-known IRS W-4 form. Note: Portions of this tutorial appear in my upcoming book OCR with OpenCV, Tesseract, and Python.

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.