You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch
In a previous tutorial, you learned how to use the textblob library and Tesseract to automatically OCR text and then translate it to a different language. This tutorial will also use textblob, but this time to improve OCR accuracy by…
Read More of Using spellchecking to improve Tesseract OCR accuracy
Not many people know this about me, but my wife and I met online when she was 18, and I was 20. It wasn’t a dating website/app like Match, eHarmony, Tinder, etc. … instead, it was Last.fm, a website that…
Read More of An interview with Adithya Gaurav Singh: Finding love with computer vision and face recognition
In our previous tutorial, you learned how to improve the accuracy of Tesseract OCR by supplying the appropriate page segmentation mode (PSM). The PSM allows you to select a segmentation method dependent on your particular image and the environment in…
Read More of Improving OCR Results with Basic Image Processing
Most introductions to Tesseract tutorials will provide you with instructions to install and configure Tesseract on your machine, provide one or two examples of how to use the tesseract binary, and then perhaps how to integrate Tesseract with Python using…
Read More of Tesseract Page Segmentation Modes (PSMs) Explained: How to Improve Your OCR Accuracy
In a previous tutorial, we learned how to automatically OCR and scan receipts by: Detecting the receipt in the input image Applying a perspective transform to obtain a top-down view of the receipt Utilizing Tesseract to OCR the text on…
Read More of OCR’ing Business Cards
In this tutorial, you will learn how to use Tesseract and OpenCV to build an automatic receipt scanner. We’ll use OpenCV to build the actual image processing component of the system, including: Detecting the receipt in the image Finding the…
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One of the most challenging aspects of applying optical character recognition (OCR) isn’t the OCR itself. Instead, it’s the process of pre-processing, denoising, and cleaning up images such that they can be OCR’d. To learn how to denoise your images…
Read More of Using Machine Learning to Denoise Images for Better OCR Accuracy
Imagine this: You’ve built a brand new home out in the country, far from major cities. You need a break from all the hustle and bustle, and you want to bring yourself back to nature. The house you’ve built is…
Read More of An interview with David Bonn, computer vision and wildfire detection expert
In this tutorial, you will learn how to perform transfer learning for image classification using the PyTorch deep learning library. This tutorial is part 2 in our 3-part series on intermediate PyTorch techniques for computer vision and deep learning practitioners:…
Read More of PyTorch: Transfer Learning and Image Classification
