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Optical Character Recognition (OCR)Discover how to perform Optical Character Recognition (OCR) using OpenCV, Tesseract, Deep Learning, and more by following these OCR guides and tutorials.
Today’s blog post is a continuation of our recent series on Optical Character Recognition (OCR) and computer vision. In a previous blog post, we learned how to install the Tesseract binary and use it for OCR. We then learned how…
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Last updated on Feb 13, 2024. In last week’s blog post we learned how to install the Tesseract binary for Optical Character Recognition (OCR). We then applied the Tesseract program to test and evaluate the performance of the OCR engine…
Read More of Using Tesseract OCR with Python
Today’s blog post is part one in a two part series on installing and using the Tesseract library for Optical Character Recognition (OCR). OCR is the automatic process of converting typed, handwritten, or printed text to machine-encoded text that we…
Read More of Installing Tesseract for OCR
Today’s tutorial is inspired by a post I saw a few weeks back on /r/computervision asking how to recognize digits in an image containing a thermostat identical to the one at the top of this post. As Reddit users were…
Read More of Recognizing digits with OpenCV and Python
Today’s blog post wouldn’t be possible without PyImageSearch Gurus member, Hans Boone. Hans is working on a computer vision project to automatically detect Machine-readable Zones (MRZs) in passport images — much like the region detected in the image above. The…
Read More of Detecting machine-readable zones in passport images
