Thursday, August 20, 2015

Auto Detect Resolution of OMR Image & Enhanced Multi-Selection for Grid Element using .NET

What’s new in this release?

We are proud to announce the new release of Aspose.OCR for .NET 2.8.0. This release includes exception handling to capture failures caused by the OmrEngine and add a new OmrImage property to auto detect the image resolution of the OMR scanned image. Aspose.OCR for .NET now provides the OmrImage.AutoDetectResolution property to auto detect the resolution of the scanned image to perform OMR operation. The OmrEngine tries to compare the resolution detected for the scanned image with the resolution of the OMR template. If they do not match with a slight tolerance, the OmrEngine generates an exception. This release of the Aspose.OCR for .NET API has exposed the Aspose.OMR.OmrException class along with it’s supporting methods that allows to handle the exceptions caused by the OmrEngine during the processing of OMR forms. It also provides fixes for important issues such as, incorrect recognized text for specific file, Multiselection for Grid element, Invalid CopyRight symbol on NuGet page for Aspose.OCR and many more. This release includes plenty of new features as listed below
  • OMR should detect image resolution automatically
  • Method OmrConfig.setFillThreshold() incorrect verifies input data
  • Incorrect recognized text for specific file
  • Multiselection for Grid element
  • Invalid CopyRight symbol on NuGet page for Aspose.OCR
  • Public methods related to Omr module have to throw OmrException
  • Possible invalid input crashes due to PreviewTextInput non-obvious behavior
  • Arithmetic operation resulted in an overflow
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.

No comments:

Post a Comment