The strategy is called document analysis ( DA) . Theoretically, if you were to compare two engines that had identical character recognition, but engine A had document analysis and engine B did not, engine A would almost always win ( The exceptions: EOBs, and Student Transcripts ). Document analysis identifies all the components of documents, lines, text, paragraphs, columns, and graphics, all before reading a thing
I have had extensive experience in all phases of information systems development, including strategic planning, architecture design and implementation, document analysis and architecture, business and situation analysis, and data architecture
In the digital mail-room the in-line OCR, in order to be as fast as it is, must be an engine that is reduced in complexity, namely removing document analysis and reading of complex fonts
Below is how the OCR engine automatically zoned (document analysis) the document
The idea is that you want documents that are going to represent a true production Data Capture environment. Initial document analysis and index fields After gathering as many documents as you can then the first step in configuring the Data Capture solution is to import the sample documents
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