We are pleased to announce the release of Aspose.OCR for Java 2.9.0 . This release includes loading OMR templates from a remote location. Scanned sheet images can also be loaded from a remote location by using this version. Aspose.OCR for Java provides facility to load OMR template from a remote location. You just need to supply the URL of the OMR template to newly exposed loadFromUrl method. A simple code snippet is provided on the blog announcement page that demonstrating the usage of the said method to load OMR template from a remote location. Please review the release notes of Aspose.OCR for Java 2.9 for a complete view of new features. If you are planning to upgrade the API from any previous version, we strongly suggest you to check the Public API Changes section to know what has been changed since your current revision of the API. As always, we appreciate your feedback so if you ever have anything to tell us about this release or anything else, please head to the Aspose.OCR forum for a chat. This release includes plenty of new & enhanced features as listed below
- Ability to load the OMR Template (amr) from URL
- Multiselection for Grid element
- Incorrect recognized text for specific file
- Method OmrConfig.setFillThreshold() incorrect verifies input data
- OCR Engine hangs while performing OCR on Image of 2479 X 3508 with graphics
- Arithmetic operation resulted in an overflow
- Public methods related to Omr module have to throw OmrException in Java
Newly added documentation pages and articles
Some new tips and articles have now been added into Aspose.OCR for Java documentation that may guide you briefly how to use Aspose.OCR for performing different tasks like the followings.
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 recognition tasks. 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.