However the impact is the amount of raw data produced doubles. Hauke Fast, Kodak Alaris’ EAMER product marketing manager for document imaging, explains, “OCR performance at 200 dpi is totally acceptable for human reading, but at 300 dpi you get better accuracy which is key for customers where image detail is required say for fine print or barcode reading.
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Ultimately ADR provides a cost efficient method to reduce manual data entry and document handling to accelerate business processes and improve data quality. It then extracts this information, and translates the content into machine-readable form to feed business processes and big data applications. Both come with a 500 page adjustable feeder for documents up to DIN-A3 and charts up to 4 meters in length.Īdvanced Document Recognition combines multiple intelligent recognition technologies, business rules and automatic learning algorithms to determine the document type and where relevant information is located. The larger capacity, i4600 Plus Scanner, can process 120 pages per minute and up to 50,000 pages every day. It has a recommended daily volume of 30,000 pages. The KODAK i4200 Plus Scanner is able to scan 100 pages per minute at 200 and 300 dpi in black & white or colour. With upgraded CCD cameras and the latest electronics, two scanners complete the range. Kodak Alaris announces today the launch of its next generation KODAK i4000 Plus Series Scanners, specifically designed to meet these demanding information processing requirements. This improves staff productivity, maximizes efficiency, and most importantly ensures the right data from documents is extracted.
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To achieve this quickly and cost effectively, scanning hardware and software must do the ‘heavy lift’ image processing accurately while minimising operator involvement.
Interest in Advanced Document Recognition technology including OCR has grown considerably as companies seek to automate key business workflows such as forms and claims management, invoice processing, mail, medical records digitising, along with providing support for powerful data mining applications.
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