Aspose.OCR for Java API enables java developers to set threshold for a template, template page and even for a specific template element.An enhancement has been made for the OmrEngine to accommodate markers that are equally distributed on the OMR template.
Lane Cove, NSW, Australia., April 28, 2014 - (PressReleasePoint) -
The new version of Aspose.OCR for Java v1.9.0 has been released. This release contains all the features, enhancements and bug fixes from Aspose.OCR for .NET 1.8.0 and 1.9.0. The threshold specifies the percentage of black pixels over which the option is considered to be selected. Setting a lower threshold allows the OmrEngine to consider any partially filled marker as selected; a higher threshold may require the marker to be filled completely. Usually the threshold is set to an acceptable higher average value before initializing the OMR procedure to determine the amount of pixels (as a percent) that is required before a field or a mark is considered checked or filled. Aspose.OCR for Java now supports setting the threshold for a template, template page and even for a specific template element.
This release also support equal spacing between the markers, this enhancement has been made for the OmrEngine to accommodate markers that are equally distributed on the OMR template. Unfortunately, the Template Editor for the Java version of the product isn’t yet available for public use. They are working to provide a Java based template editor with future releases of Aspose.OCR for Java. This release includes plenty of new& enhanced features as listed below:
How to set value of selected/marked threshold for OMR elements?
Aspose.OCR for Java is a character recognition component that allows developers to add OCR functionality in their Java web applications, web services and Windows applications. It provides a simple set of classes for controlling character recognitiontasks.It helps developers to work with image files from within their Java applications. It allows developers to extract text from images, Read font, style information quickly, saving time & effort involved in developing an OCR solution from scratch.
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