document imaging

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document imaging

n
(Computer Science) computing the process of converting paper documents into an electronic or digital format
References in periodicals archive ?
With this integration, p44 enables Oracle Transportation Management Cloud users to execute on-demand inventory management and enable superior customer experiences by providing real-time, reliable, and predictive visibility into multimodal shipment tracking (along with pricing, routing, scheduling, digital document retrieval, and invoicing).
However, for the document retrieval, it can only be done at the Klas 1 Immigration Office in West Jakarta.
Whether it is obtaining a copy planning permission with our unique document retrieval service, arranging indemnity insurance or using our contacts to get a search back quickly, we guarantee to save you time.
'Data security, document retrieval, and management are among the many problems employees and entrepreneurs encounter that delay efficiency in the workplace.
terms of storage space, quick and easy document retrieval and completion of
Expenses associated with paper, printing, reproduction, storage, filing, postage and document retrieval are all reduced or eliminated when you switch to EDI transactions, lowering your transaction costs by at least 35 percent.
7 April 2017 - US-based outsourced document retrieval services provider Keais Records Service, LLC has completed the acquisition of California, US-based medical records and summary services provider National Legal Services, LLC the company said.
Automated car parks rely on similar technology that is used for mechanical handling and document retrieval. The driver leaves the car in an entrance module.
The company will continue to provide title services, customizable property reports and document retrieval services; newly expanded service offerings to include liability solutions, HOA Lien Verifications and Lien Monitoring.
Greg Cadrette is president of Concord Search & Retrieval Inc., a filing and document retrieval company.
G|dert, Hubrich, and Nagelschmidt discuss how document retrieval and search results can be improved based on an expanded set of differentiated semantic relation types that allow for drawing machine inferences along the relational structure.
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