How much effort have you put into your document classification processes? Be it manual, or automated, fast, and accurate document classification is the first step to success for recognition
Company leadership didn’t have the confidence that an outsourced backfile conversion provider could effectively perform document classification. If you’ve being paying to produce, store and manage paper backfiles, it’s the ideal time to shed that burden—especially if your impetus is because you want to move your office
With growing consumerization of apps, the ubiquitous nature of the cloud and mobile, and the Internet of Things, organizations are being confronted with rising volumes of applications and data. โInformation Chaosโ is how AIIM refers to this phenomena that has IT scrambling to control mounting...
Sincerely, Kevin #Barcode #metadata #Fujitsu #Taxonomy #ICR #indexing #OCR #ScanningandCapture #documentcapture #classification
Because of this the demand is not so much on data extraction, but data classification. In both use cases the adoption short comings have been: Regulation: HIPPA compliance and the like are a benefit to the sustainability of these technologies, but not to their adoption
Capture also includes image processing, classification/understanding of the images, and data extraction with validation
IDR solutions can range from simple to complex, and have advanced significantly in the past few years, to address diverse processing needs based on form structure, data type, document classification, business rules, workflows and application integration requirements
Even fewer offer real-time statistics on document classification and field recognition results
IDR is the business rules and workflow engine around OCR and ICR that provides needed context about a document (identification, classification, separation), and invokes the appropriate OCR or ICR technology to process a job
Key components address Classification and Version Management, Authoring and Design, Output Generation, and Archiving
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