You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch
This lesson is part 4 of a 4-part series on OCR 120: Tesseract Page Segmentation Modes (PSMs) Explained: How to Improve Your OCR Accuracy (tutorial 2 weeks ago) Improving OCR Results with Basic Image Processing (last week’s tutorial) Using spellchecking…
Read More of OCR Passports with OpenCV and Tesseract
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
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…
Read More of Automatically OCR’ing Receipts and Scans
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
Given that we can detect the writing system of the text, it raises the question: Is it possible to translate text from one language to another using OCR and Tesseract? To learn how to translate languages using Tesseract and Python,…
Read More of Language Translation and OCR with Tesseract and Python
In our previous tutorial, you learned how to OCR only digits from an input image. But what if you wanted to obtain more fine-grained control on the character filtering process? For example, when building an invoicing application, you may want…
Read More of Whitelisting and Blacklisting Characters with Tesseract and Python
