Forms Recognition and Processing has continued to be an intense area of interest from our customers looking for in-depth solutions to their unique scenarios. Some of the most recent inquiries have revolved around what to do when your company uses hundreds or even thousands of master forms. In most cases, bottle-necks occur at the front end with the number of forms that need to be recognized and processed. That is to be expected for a large, thriving business, but when more and more form templates are added to the equation it can really start to bog down the classification step.
There are many ways to approach this, and this white paper illustrates four different solutions; each of which can be combined with one another to give you the most flexible and efficient forms recognition application possible. Even if an over abundance of master forms doesn’t exactly describe or match your environment, this white paper is still a great read since its principles can help speed up ANY forms recognition application regardless of your repository size.
Forms Recognition Implementation Strategies for Large Enterprises
Countless companies rely on paper forms for gathering information from customers, patients, students and the like. Automated forms recognition can be used on anything from a simple postcard to complex, multi-page tax forms to save time and money by increasing accuracy and reducing man-hours. However, large enterprises such as financial institutions, government agencies and hospitals often deal with huge numbers of forms on a daily basis, causing unique problems which can be successfully and efficiently handled with good planning, form design and the right software. By implementing a combination of multi-threading, cloud computing, barcodes and two-phase categorized recognition, a forms recognition and processing application built with LEADTOOLS can handle any large-scale scenario you can throw at it.
If you would like to download the full example project showing how to implement form categories, you can get it from the Code Project article where we have also circulated this white paper.
