Auto Detect Type of Barcode Elements & Automatic/ Manual Image Skew Correction using .NET

2024-10-31 11:29:42 Computer

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We are proud to announce the new release of Aspose.OCR for .NET 3.3.0. This release includes Automatic and manual image skew correction in OMR template editor. Image skew correction using algorithm and automatic setting BarcodeElement type property have also been incorporated in this release. OMR template editor now provides support to auto detect type of BarcodeElement symbology. Select BarcodeElement and place it on the template. Write click on the element will show the shortcut menu. Select the Detect barcode type menu option. Selecting this option will auto detect the type of under laying barcode and auto set the Type property of the BarcodeElement in the Properties window. Automatic and manual image skew correction can be performed while importing scanned sheet image into the template editor. To enable automatic image skew correction while importing scanned sheet. First Launch OMR template editor then pen the Settings property window by accessing the Edit menu and then Settings sub menu and select OmrFeatures tab and check Enable Automatic Skew Correction option. In case, the automatic skew correction option is not enabled and you want to perform skew correction on the scanned sheet image that you have imported into the template editor, click the Deskew image icon on the toolbar. Aspose.OCR for .Net provides facility to perform image skew correction through code using algorithm. Please review the release notes of Aspose.OCR for .NET 3.3.0 for a complete list of new feature & enhancements. 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. This release includes plenty of new features as listed below

? Automatic skew correction for scanned OMR answer sheets
? Barcode 1D type cannot be detected
? Detect type of Barcode elements automatically
? Implement new characters classifier
? Improve detection of capital letters

Other most recent bug fixes are also included in this release

Newly added documentation pages and articles

Some new tips and articles have now been added into Aspose.OCR for .NET documentation that may guide you briefly how to use Aspose.Diagram for performing different tasks like the followings.

- Image Skew Correction: http://www.aspose.com/docs/display/ocrnet/Image+Skew+Correction

- Setting BarcodeElement Type Property Automatically: http://www.aspose.com/docs/display/ocrnet/Setting+BarcodeElement+Type+Property+Automatically

Overview: Aspose.OCR for .NET

Aspose.OCR for .NET is a character recognition component built to allow developers to add OCR functionality in their ASP .NET 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 (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.

More about Aspose.OCR for .NET

- Homepage of Aspose.OCR for .NET: http://www.aspose.com/.net/ocr-component.aspx

-Download Aspose.OCR for .NET: http://www.aspose.com/community/files/51/.net-components/aspose.ocr_for_.net/default.aspx

- Online Demos for Aspose.OCR for .NET:
http://www.aspose.com/demos/.net-components/aspose.ocr/default.aspx

- Online documentation of Aspose.OCR for .NET: http://www.aspose.com/docs/display/ocrnet/Home

- Post your technical questions/queries to Aspose.OCR for .NET Forum: http://www.aspose.com/community/forums/aspose.ocr-for-.net/493/showforum.aspx

- Receive notifications about latest news and supported features by subscribing to Aspose.OCR for .NET blog: http://www.aspose.com/blogs/aspose-products/aspose-ocr-for-net.html

Contact Information
Aspose Pty Ltd, Suite 163,
79 Longueville Road
Lane Cove, NSW, 2066
Australia
http://www.aspose.com/
sales@aspose.com
Phone: 888.277.6734
Fax: 866.810.9465