Projects / Aspose.OCR for .NET

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 applications. It provides a simple set of classes for controlling character recognition tasks and supports BMP and TIFF.

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Recent releases

  •  25 Apr 2014 10:04

    Release Notes: You can now set thresholds for a template, template page, and for a specific template element. The threshold is usually set to an acceptable higher average value before initializing the OMR procedure to determine the amount of pixels (as a percent) required before a field or a mark is considered checked or filled. This release also supports equal spacing between the markers. This enhancement has been made for the OmrEngine to accommodate markers that are equally distributed on the OMR template.

    •  26 Jul 2013 17:56

      Release Notes: This release introduces optical mark recognition to Aspose.OCR for .NET API. The Aspose.OMR namespace can be used to recognize different marked elements from a scanned image. Recognition is processed based on a template that contains graphical mapping of the elements to be recognized from the scanned images. Programmers can use Aspose.OMR namespace to programatically load templates and images, and extract data based on these. Aspose.OCR for .NET API also comes with the OMR Template Editor. The OMR Template Editor is a GUI for designing templates graphically.

      •  17 Apr 2013 10:55

        Release Notes: Garbage element detection was improved, increasing character recognition accuracy. Rotation and flip parameters are exposed in the public API. Users can specify these parameters to improve recognition speed and accuracy. An issue with recognition notification as well as other issues were fixed. A page notifier feature was introduced.

        •  29 Aug 2011 07:39

          Release Notes: This release supports French and Spanish text and allows you to extract French or Spanish text from BMP and TIFF images. This release also supports Calibri, Tahoma, Verdana, and Courier New fonts. You can extract text that uses these font families from BMP and TIFF images when the font size is 32pt or within 20% larger or smaller. The accuracy of the extracted text is above 90% and is 100% in some cases. This release also includes a new API to set image rotation configuration, which helps in extracting rotated text from the images. Other recent bugs were fixed.

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