Understanding OCR, ICR, and Parascript ICR

Over the years, recognition technology companies (including Parascript) have attempted to create acronyms to delineate the differences between OCR, ICR, and the technology needed to effectively read many types and styles of handwriting, including cursive. In the end, we haven’t run into anybody who asks about natural handwriting recognition and the such. People just ask […]

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Infographic: 55% of forms data is being rekeyed — why?!

Last year, Parascript set out to measure the adoption of automated recognition of both Optical Character Recognition (OCR) and Intelligent Character Recognition (ICR) for processing forms. The results were astounding, especially the lack of organizations utilizing automated recognition. Only 32% of organizations surveyed are using OCR to extract document content. Over the last year, we […]

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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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Why context is essential in handwriting recognition

Context plays a significant role in the recognition process. When people read handwriting, they look at entire words — or even the entire document — to correctly identify what is written. They can read a sentence and understand illegible words within the “context” of the document. In the same way, recognition engines use context as […]

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