IronOCR - The VB.NET Library
IronOCR - The VB.NET Library >>> https://blltly.com/2taeum
We would like to share with you a very simple.Net Core application that uses the OCR library to generate the license plate number from a photograph we have taken. The source code is available on GitHub .
The Iron OCR library is an object-oriented character recognition and optical character recognition C++ library for.Net. With it you can convert any image into text and recognize complete words or even entire lines.
VB.NET is an object oriented programming language developed by Microsoft and the.NET Framework.The Iron OCR Library is a.Net component and is free to use. It is written entirely in C# and can be used in any.Net project.
The library is still under development, but has already been used to solve a number of problems for a variety of different applications. It is currently capable of recognizing text from either a handwritten signature or typed text. It can recognize an image from a digital camera or scanned document.
LibOcr is a full-featured object-oriented character recognition and optical character recognition C++ library for VB.NET and C#. With it you can convert any image into text and recognize complete words or even entire lines. Recognize text from a wide range of sources including PDFs, digital cameras, scanned documents, images, barcodes and images.
If you are going to use Iron OCR for.Net Core, you will be required to use a strong certificate for Iron OCR to process the images. The application may still work fine without signing it with a strong certificate, but Iron OCR will not be able to process the PDF file..Net Core does not allow unsigned assemblies (binaries) to be run.
This is a new library for vb.net with the features of Java and C# TextOCR. This library is still in development and there are many improvements to be done. However, it is a very light weight library and can be used to extract text from documents. The library is compatible with windows environment. The library also has some unique features like image extraction from the documents, OCR for tiff images, convert html files to text, etc. 827ec27edc