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If you’re building a .NET application that processes scanned documents, images, or PDFs, choosing the right C# text recognition library is critical. Text recognition is no longer a niche utility. From automating invoice processing to enabling smart search in enterprise systems, OCR lies at the heart of many mission-critical workflows. Choosing the right library in […]
Text recognition machine learning is transforming OCR (optical character recognition) by using advanced algorithms to improve accuracy and speed. In the previous articles of our series, we covered some of the deep learning techniques used in text detection, which is the first part of any OCR system. In this article, we will cover the second […]
This article is the second part of “Deep learning for text detection.” In part 1, we outlined some deep learning approaches based on object detection used to perform text detection. In this part, we will outline some approaches based on image segmentation. There are different types of image segmentation, but for text detection, we will […]
In a previous blog article, we outlined several deep learning techniques for OCR. We mentioned how these techniques are used for text detection and text recognition, which are the two primary building blocks of an OCR system. In this article, we will go deeper into how deep learning is being used for text detection, which […]
Deep learning OCR improves the accuracy and efficiency of optical character recognition (OCR) by utilizing advanced neural networks. This technology enables better text recognition, even in complex or low-quality documents, enhancing data extraction and automation processes. OCR or optical character recognition is becoming increasingly important and needed for many companies and organizations that look for […]
