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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.
In this tutorial, you will: Discover a technique for associating rows and columns together Learn how to detect tables of text/data in an image Extract the detected table from an image OCR the text in the table Apply hierarchical agglomerative…
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An essential component of any OCR system is image preprocessing — the higher the quality input image you present to the OCR engine, the better your OCR output will be. To be successful in OCR, you need to review arguably…
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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
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…
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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…
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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
