As part of the LEAD Technologies 25th anniversary, we are creating 25 projects in 25 days to celebrate LEAD's depth of features and ease of use. Today's project comes from Amin.

What it Does

This C# application uses OCR on screen capture image snips using LEADTOOLS Version 19.

There is a great and growing need for people and organizations to be able to quickly recognize and extract data from documents, images, and forms that are filled with varying areas of machine printed text, handwriting, graphics, and more (think: almost every type of form you’ve had to fill out and sign). Handwritten text specifically has been historically difficult to recognize due to variations in each and every sample set of handwriting. With LEAD’s continued commitment to advancing OCR technology, our developers set out to create a solution. Version 21 brings a new and improved ICR engine as well as brand new Mixed Mode AutoZone capabilities.

ICR, or Intelligent Character Recognition, is an advanced Artificial Intelligence technology that is usually quite difficult to master. Not for long! With the upcoming release of LEADTOOLS Version 21, our brand new, machine vision-powered ICR engine will make recognizing handwritten papers, forms, and documents seem easy.

Support recently received a request for a simple C# sample that would

• detect a MICR in an image
• and return the MICR code as a string.

Continuing off of my previous blog post about using LEADTOOLS OCR to save screenshots as searchable PDFs, this post demonstrates how to extract the text from those screenshots and store it back into your clipboard as plain text.

Like I said on the last blog post, developers can get images that have been copied to the clipboard using .NETs Clipboard Class. Instead of saving screenshots as searchable PDFs, this time we'll be using the GetText Method to retrieve text so we can store it back in the clipboard.