A key component of capture and Intelligent Document Recognition (IDR) software is document classification. It allows automatic classification of all types of documents based on content or structure with minimal human intervention.
Document content varies enormously and makes classification particularly challenging. Business documents can include anything from highly structured forms, such as applications, to highly complex, unstructured business correspondence.
For document classification to meet the demands of today’s complex business environment, the latest technology utilizes several methods, including image-based comparison, region of interest location, or keyword analysis.
-Image-based: Compares the entire image to samples to classify the document. Best suitable for quick document sorting of standardized layouts.
-Region of interest: Allows more specificity to examining a particular portion of the image for classification.
-Anchor zones: Allows specific zones to be used that review presence of information and can also utilize recognition.
-Keyword analysis: Uses either structured or semi-structured techniques to locate content and classify it. Keyword analysis solves the challenging task of classifying non-standard forms or where certain forms are not always encountered.
This combination of advanced classification technology not only provides cost savings in manual labor and increases efficiency with highly accurate document matching, but it also enables classification of all company documents and diverse applications such as data loss prevention. For example, it provides the ability to classify and organize information in order to apply corporate policies. Companies can ensure that access to information is controlled, information is not lost, or improperly shared.
Another example is eDiscovery where technology assisted review of documents is a fast-growing area. Legal teams can avoid sifting through boxes of pre-trial documents to sort them, locate data, and then code them into legal systems with the aid of document recognition and classification.