Custom Recognition Blocks, Detect Reading Order and Other Enhancements with Aspose.OCR for Java 2.0.0
We have just released this month’s improvements to Aspose.OCR for Java, and have upgraded the API to version 2.0.0. This release contains 12 improvements, including the showcased feature discussed below. You can download the latest Aspose.OCR for Java release from the download section now, and start exploring the newly added features. However, if you are planning to upgrade your project to use the latest build, we recommend you to check the Public API Changes section first.
C# OCR API - Add User Defined Recognition Blocks and Auto-Detect Text Blocks
We are pleased to announce the monthly release of Aspose.OCR for .NET, version 2.0.0. Our team has been hard at work bringing many useful improvements to this edition of the Aspose.OCR API. You can start exploring the newly added features & enhancements immediately, but before you head to the download section, here is a look at just a few of the biggest 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.
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
 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.
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 Text from PDF Including Images in C# using Aspose.PDF and Aspose.OCR
Extracting text from a PDF file is a common requirement of the developers working with PDF files. Aspose.PDF for .NET already allows you to extract text from the PDF file using C# in your .NET applications. The only limitation was that the text couldn’t be extracted from the images contained by the PDF file.
Well, with the introduction of Aspose.OCR for .NET in our .NET product suite, we have moved towards removing this limitation.