Understanding Recognition: Errors and Rejects

There are 3 possible outcomes when recognition engines attempt to read any data: the correct answer, error, or reject. This post will focus on understanding errors and rejects and how to find the right balance between them. Errors refer to the instances when a recognition engine gives an incorrect result. The problem with errors is […]

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Vocabularies and ICR – Why You May Not Be Getting The Results You Expect

The goal of every recognition engine is to produce the highest accuracy possible which is probably pretty obvious (who uses technology to get poor results?). But did you know that the type and quality of images being recognized can and often produces significantly different results, depending upon which recognition technology is used? For example, in […]

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Advanced Capture for Managing Data Exceptions

There are three primary areas businesses should examine when approaching a document capture project. Without having a solid grounding, business can face significant pain regarding their ability to effectively collect data and ensure its quality, all without significantly increasing exception handling. Many companies don’t take advantage of data recognition and extraction capabilities, even for the […]

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Eliminating Common Errors in Forms Processing for Healthcare

More and more hospitals and insurers are looking to move medical records, claims and enrollment applications online. However, due to doctors’ and patients’ limited access to computers and the ease of applying pen to paper, healthcare organizations are still very reliant on paper forms. The many steps involved in processing healthcare documents, from completing information […]

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How Context and Business Rules Can Help Get the Most from Your Data

Considering all of the ways that businesses rely on data, the benefits of increasing the accuracy of information and processing it more quickly can be huge. From improving internal and external transactions to enhancing customer service; increasing collections and saving time, money and the hassle of researching incorrect data, most organizations stand to gain both […]

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7 Reasons your Document May not be Suited for Unstructured OCR/ICR

Structured and semi-structured document analysis with ICR engines is complex enough; enter in an unstructured requirement with a data extraction workflow and you have a major challenge. When considering an unstructured approach, an analyst needs to determine if the project is a good candidate. The following 7 document characteristics present clues as to why your […]

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