Configure Threshold for Optical Markers using Java OMR API
We are pleased to announce the release of Aspose.OMR for Java 1.9.0. This month’s release contains all the features, enhancements and bug fixes from Aspose.OMR for .NET 1.8.0 and 1.9.0.
This outlines the most significant changes. Check the detailed release notes for all enhancements and fixes when downloading the latest version of Aspose.OMR for Java 1.9.0.
Optical Mark Recognition Threshold The threshold specifies the percentage of black pixels over which the option is considered to be selected.
Configure Threshold for OMR with Aspose.OCR for .NET
[][1] from the download section along with the required resource files.
Here is a look at a few of the features in this month’s release. For a full list of bug fixes and improvements please refer to the download pages in the link above.
Optical Mark Recognition Threshold The threshold specifies the percentage of black pixels over which the option is considered selected. A threshold can be set 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.
Support for Optical Mark Recognition (OMR) with Aspose.OCR for Java 1.7.0
We are pleased to announce the release of Aspose.OCR for Java 1.7.0. In this release we have introduced Optical Mark Recognition (OMR). The Aspose.OMR package can be used to recognize different marked elements in 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 now load templates and images, and extract data based on these.
Download and Use Aspose Java APIs and Examples on NetBeans through Aspose Project Wizard
Aspose keeps putting effort into enriching the user experience for their file format APIs, available for various development platforms including Java. NetBeans is one of the famous IDEs widely in use by Java developers to manage Java projects when developing components or applications. To allow them to download and use multiple Aspose Java APIs and examples through a single click in a NetBeans project, we’ve introduced Aspose Project Wizard for NetBeans.
Optical Mark Recognition (OMR) Support in Aspose.OCR for .NET 1.6.0
We are pleased to announce the release of Aspose.OCR for .NET 1.6.0. In this release, we have introduced the exciting feature of 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.
Improved Garbage Element Recognition and New Page Notifier in Aspose.OCR for .NET 1.5.0
We are pleased to announce the release of Aspose.OCR for .NET 1.5.0.
In this release we have introduced some improvements and bug fixes along with a new feature. It includes improvement in garbage element detection to increase the recognition accuracy. Rotation and flip parameters are exposed in the public API; the default value is none. Users can specify these parameters to improve recognition speed and accuracy as well.
This release also fixed an issue with recognition notification as well as other issues.
Noise Removal Filters and Second Guess a Symbol in OCR using C#
We are pleased to announce the release of Aspose.OCR for .NET 1.3.0. In this release, we have introduced two new features. Firstly, noise removal filters are included in the public API. Now you can process images with these filters before running recognition. This helps improve text recognition accuracy.
Secondly, we’ve added a feature for exposing a second possible guess for a symbol. The following code snippet shows how the second guess properties work.
Multipage image recognition and support of more image formats using Aspose.OCR for .NET 1.2.0
Aspose.OCR for .NET 1.2.0 has been released. We are pleased to announce that support of more image formats is included in this release: JPG, JPEG, PNG and GIF. This expands the scope of the Aspose.OCR API. This release supports recognition of multipage TIFF image with the introduction of a new property for OcrEngin-ProcessAllPages. This release also supports recognition of text in form fields, that is, tables. The text recognition accuracy is above 90% and is 100% in some cases with 32pt +/- 20% sizes of the supported font families.
Extract hOCR Text or Recognize Characters from Images in your Java Applications
We are pleased to announce our new product Aspose.OCR for Java. Aspose.OCR for Java is an optical character recognition component that allows developers to extract text from image files. You can extract text in hOCR format which not only gives you the extracted text but other text information (font and style etc.) as well.
Aspose.OCR for Java is aimed at the developers who need to add OCR functionality in their Java applications and provides a better performance.
Welcome to 2012: 2011 in review
2011 was quite a year. The environment and the economy seemed unfriendly; iconic IT celebrities passed away and the end of the PC was announced more than once. Our customers and colleagues saw change everywhere around them. But in the midst of all this, work continued: software was written and new companies, services and products were launched worldwide. At Aspose, we did our best to support our customers and make sure that whatever they had to deal with, our products wouldn’t add to their troubles.