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.

There are several ways to access the data in a RasterImage. If you need to get the RGB values of each pixel, then the GetPixel() and GetRow() methods are the simplest methods to use.

Few Pixels

If you need to get just one pixel, then GetPixel() is the easiest. GetPixel() works with image data of any bits per pixel and returns a RasterColor that includes the alpha channel information for 32 and 64 bit images. The sample below uses GetPixel()to fill the buffer with the entire image (not recommended—more on that below).

The LEADTOOLS Document Analyzer is an innovative new library that intelligently finds and acts upon information in unstructured documents and images. The Document Analyzer handles what was once mundane and tedious manual work as it automatically sifts through data to find information of interest. Once a piece of information is found, an action such as highlight, redact, or extract can be applied. You will see below that the use cases of the Document Analyzer are widespread and varied, but all save time, reduce error, and improve the customer’s experience.

Speed and accuracy are key when encoding and decoding the machine readable data found within barcodes. LEADTOOLS offers top-of-the-line computer vision barcode libraries that are faster and more reliable than any other barcode SDK on the market, ensuring that you always get the best possible results.

The AIIM Intelligent Capture/AI Virtual Event took place online at the end of April. The event had many great speakers from all around spreading the latest news on intelligent capture and AI within their companies. In case you missed it, we are pleased to have another opportunity to share a live interview with our very own Hadi Chami. In this video, Hadi goes over several use-cases of the soon to be released LEADTOOLS Document Analyzer component of the LEADTOOLS SDK.

https://youtu.be/lpgJsSfdL_c