Last year, we set out with AIIM to measure the adoption of automated recognition of both Optical Character Recognition and Intelligent Character Recognition for processing forms. The results were astounding, especially the lack of organizations utilizing automated recognition. Only 32% of...
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This was one recent finding from the study, “Forms Processing – user experiences of text and handwriting recognition”, which determined that most organizations forgo cost-saving automated recognition of handprint or cursive content in favor of manual entry, or simply don’t capture the data
The study finds that, in general the presence of handwriting on these forms is substantial, but adoption of handwriting recognition technology is low: · 40% of survey respondents said half or more of their inbound forms have handwritten data fields
However, different recognition technologies often produce significantly different results. Advanced handwriting recognition technology, for instance, uses dynamic vocabularies to produce better results on poor quality images and hard-to-read characters, and therefore boosts accuracy in reading cursive and handprint information