Metered License Support for OMR Operations & Enhanced Processing of Distorted Images using .NET

We are proud to announce the new release of Aspose.OCR for .NET 16.12.0. The major development in this release is support for metered license mechanism for OMR operations. The new licensing mechanism will be used along with existing licensing method. Those customers who want to be billed based on the usage of the API features can use the metered licensing. Furthermore overall performance of the API has also been improved in this release. Aspose.OCR for .Net provides the functionality to use metered licensing mechanism for OMR operations. Aspose team has introduced Metered class in API to accomplish this job. The code sample on the blog announcement will demonstrate, how to calculate the consumed OMR API requests. There are some important enhancements also part of this release such as, processing of distorted images has been improved and mechanism of applying filters on the supplied image has been improved. It helps developers to work with image (BMP, TIFF) files from within their own applications. It allows developers to extract text from images quickly & easily, saving time & effort involved in developing an OCR solution from scratch. This release includes plenty of new features as listed below

• Support Dynabic.Metered license for OMR
• Images distorted in preprocessing.
• Fix filtering usage
• Rename ExtractData method

Other most recent bug fixes are also included in this release

Comments

  • We are pleased to announce the release of Aspose.OCR Cloud 18.6. Aspose team has released Skew Correction module that allows to recognise slightly rotated images, integrated Tensor-flow-Serving technology into Aspbose's pipeline and improved Text Recognition module to fix a lot of issues in Aspose roadmap. There are some important new features part of this release, such as released skew correction module that allows to recognise slightly rotated images, Integrated Tensorflow-Serving technology into our pipeline and improved text recognition module to fix a lot of issues. There are some important bug fixes also part of this release, such as Fixed issue of collapsing words, duplicate letters, punctuation symbols issues and many more. This release includes plenty of new & enhanced features as listed below

    • Released skew correction module that allows to recognise slightly rotated images
    • Integrated Tensorflow-Serving technology into our pipeline
    • Improved text recognition module to fix a lot of issues in our roadmap:
    1. Fix issue of collapsing words
    2. Fix issue of duplicate letters
    3. Fix issues with punctuation symbols
    4. Learn to recognise characters: hyphen-minus (-), dash (–), grave accent (`), underscore (_), slashes (/)()

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