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Skew Image Correction Process & Fast Image Rotation Algorithm Are Enhanced Using Aspose.OCR for Java 3.6.0.

Lane Cove, Australia, September 23, 2016 --( What's new in this release?

Aspose is pleased to announce the release of Aspose.OCR for Java 3.6.0. This release includes improved mechanism for skewed image correction. Faster image rotation algorithm has also been incorporated in this release. Skew image correction functionality was already supported in the form of getSkewDegree method. However skew image correction process has been improved further. Similarly, image can be rotated using Aspose.OCR but rotation algorithm has been improved further. Method com.aspose.omr.OmrEngine.rotateImage(com.aspose.omr.OmrImage, double) has been introduced. There are some important enhancements part of this release, such as angle of rotation calculation process has been improved, Textblock recognition deskewed image process has been improved, De-skew confirmation in OMR template editor has been improved. This release includes plenty of new & enhanced features as listed below

• The angle of rotation is calculated inproperly

• Improve neighbor-based skew corrector quality on small images and small angles

• Support faster image rotation algorithm

• Incorrect textblock calculation for deskewed image

Overview: Aspose.OCR for Java

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.

More about Aspose.OCR for Java

- Homepage of Aspose.OCR for Java:

-Download Aspose.OCR for Java:

- Online documentation of Aspose.OCR for Java:

Contact Information

Aspose Pty Ltd, Suite 163,

79 Longueville Road

Lane Cove, NSW, 2066


Phone: 888.277.6734

Fax: 866.810.9465

Contact Information:


Sher Azam


Contact via Email

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Article Type:Correction notice
Date:Sep 23, 2016
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