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 Justin.

What it Does

This ASP.NET C# application will utilize Forms Recognition to extract data from a receipt survey using LEADTOOLS Version 19.

Our latest white paper contains a wealth of information on selecting the right barcode for your application. There are an abundance of barcode types and sub-types, so choosing correctly from the outset can have a profound impact on your application's entire development life cycle. Common problems could be using a barcode that doesn't hold enough information, is too rigid for evolutions in your application, takes up too much physical space, fails to read when damaged, and so on.

After an introduction into different types of barcodes and their uses, this white paper then helps navigate implementing them into your application. Not all barcode SDKs are created equal, and we dive into the many advantages — both for the developer and eventual end-user — of trusting LEADTOOLS in your application. We hope you enjoy the read!

Forms recognition is a common requirement for document imaging projects. Therefore it is no surprise that there are many companies and services that provide a solution for it. With that in mind, what sets LEADTOOLS apart? Forms alignment is one of the key features that catapults LEADTOOLS Forms Recognition above other products because it offers the best accuracy across the widest gamut of devices and documents.

We have had a number of customers approach us with documents that, to the human eye, appeared to be clean and properly scanned. However, the results still failed to return accurate results. In some cases, the exact same piece of paper would produce offbeat results when using different scanners. In the following white paper we will explain several alignment problems which LEADTOOLS can automatically correct and produce better accuracy than the competition. Click the link below to read this new white paper:

Our marketing department's media team has produced a new video highlighting the new and improved features within the LEADTOOLS OCR Engine in Version 18, including Faster Recognition, Zonal and Full Page Recognition, Image Over Text PDF, Tables and Cells, Dithered Text and Underlined Text Recognition. Take a couple minutes to learn about these exciting features, and we hope you enjoy the video!

We plan on releasing more videos just like this one covering other major feature sets like HTML5, PACS, DICOM, Barcode and more. As always, we welcome any feedback and would love to know what you think about our new videos, and/or let us know what you'd like to see next.

While making my rounds through the engineering department, the OCR team showed me some really impressive enhancements to the Advantage OCR engine coming soon. They've accomplished a lot, but my personal favorite is what they've done to the Advantage OCR engine's preprocessing algorithm. With much sweat, tears and coffee, they've fine-tuned the noise removal algorithm with impressive results. Other engines may have difficulty seeing between the lines (literally) when forms and documents use separator bars or boxes for individual characters. LEADTOOLS Advantage OCR Engine is doing a superb job at intelligently removing the noise and returning only the text of interest, rather than getting hung up on bars, dashes, speckles and other types of noise that should simply be ignored.

Other than the obvious benefit of improved accuracy, this is especially helpful for customers using forms recognition where character separators are prevalent. On documents where it might have been necessary to use a separate zone for each character and piece them together post-recognition, now only a single zone is needed since the separator bars and cells will no longer be taken into account.