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NET Core libraries, deployment of the Windows v21 Capture SDK is now possible in a Docker container on Windows Server Core and Windows Nano Server. ISVs/developers who deploy applications in a containerized environment, like Docker, weren’t able to deploy the CSDK in a container. Those same developers now have a Java API to provide support for calling/executing OmniPage Capture SDK functions from an application written in the Java programming language. Many big data infrastructure services, like Hadoop, utilize the Java programming language for developers that are interested in integrating with it. This new capability features several special algorithms to convert this format into better binary images for higher OCR accuracy and is very useful to those developing AI/ML, DLP and RPA systems. Screen capture images are in a special RGB format that previously could not be binarized well.
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With the addition of the Screen Capture OCR enhancements, developers easily recognize data from screen capture images, allowing them to automate even more processes that previously required manual intervention. Better accuracy means less exception handling for developers, and potentially less manual work for end users. OmniPage Capture SDK implemented new algorithms for processing mixed alphanumeric strings, leading to accuracy improvement of up to 67%. The core benefit delivered by an OCR toolkit is the accurate conversion of text from an image. How? By doing more of the heavy-lifting for the developer.
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New enhancements to the toolkit make it more broadly accessible and easier to use. It also provides DevOps and IT a toolkit that's fully compatible with container technologies like Docker. This release expands upon the available programming languages developers can leverage to integrate OCR technology into their applications. With the availability of the Kofax OmniPage Capture SDK toolkit version 21 for Windows, we deliver on the promise of improving upon the core technology that runs today's critical machine learning, DLP, RPA and document conversion solutions. Embracing new ways to host cloud applications to reduce costs and keep deployments efficient is also important. Today's businesses need an OCR solution that’s versatile and accurate. This is important for a number of reasons, including the ability to recognize a potential data breach before it happens – instead of just notifying security after the information has been sent and the breach has occurred.Īs the previous example illustrates, the ability to convert machine-printed text into a format that modern-day machines can read, learn from and utilize in business processes is essential. What has not been feasible is the ability to monitor what’s being viewed or typed on an employee’s computer screen.
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Until now, this has meant examining emails, text messages, faxes, printouts, copies and scanned documents. This includes computers, mobile devices, multifunction printers, fax machines and more. Modern DLP applications promise to monitor, and keep safe, all employee communications that occur while using an organization’s IT resources. Related content: How Optical Character Recognition (OCR) Raises the Stakes for Online Gambling.