Monday, September 28, 2015

Load OMR Templates from Remote URL & Multiple Images into Template Editor using .NET

What’s new in this release?

We are proud to announce the new release of Aspose.OCR for .NET 2.9.0. This release includes a new OmrImage property to load the template from remote location. OMR Template Editor now provides support to load multiple scanned images into template editor and perform OMR operation simultaneously. Run the OMR Template Editor tool. Go to the Page menu, select Import Multiple Images. Open dialog appears to offer you to select images in PNG, JPG, GIF, TIF or BMP format. Note that the Page toolbar has been enabled and shows the total number of images loaded. Now you can move between image sheets using left (<) & right (>) arrows on the Page toolbar. In order to extract the data from scanned images, simply click the Extract Data button on the toolbar. The Data Extraction Results window will appear. The window contains different tabs. Each tab shows the output/result from respective image sheet. Aspose.OCR for .NET provides facility to load OMR template from a remote location as well as the images available on local disk. You just need to supply the URL of the OMR template to newly exposed LoadFromUrl method. This release includes plenty of new features as listed below
  • Implement Control + mouse scroll zoom hotkey
  • Ability to load the OMR Template (amr) from URL in the same way scanned image can be loaded from a remote location
  • Add support of multipage recognition
  • Empty results in the template editor
  • Unable to set Java license for Java mode in Template Editor.
Other most recent bug fixes are also included in this release

Overview: Aspose.OCR for .NET
Aspose.OCR for .NET is a character recognition component built to allow developers to add OCR functionality in their ASP .NET web applications, web services and Windows applications. It provides a simple set of classes for controlling character recognition tasks. It helps developers to work with image (BMP, TIFF) files from within their own applications. It allows developers to extract text from images quickly & easily, saving time & effort involved in developing an OCR solution from scratch.

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