This week's book giveaway is in the Programmer Certification forum. We're giving away four copies of OCP Oracle Certified Professional Java SE 11 Programmer I Study Guide: Exam 1Z0-815 and have Jeanne Boyarsky & Scott Selikoff on-line! See this thread for details.
We are pleased to announce the release of Aspose.OCR for Java 3.0.0 . This release includes optimizing OCR process by setting not to save preprocessed images and improvements in the algorithms to process the noisy OMR scanned sheet images. Aspose.OCR for Java provides facility to exclude preprocessed images from being saved during OCR operation. This functionality can be achieved by setting the setSavePreprocessedImages property of the configuration [OCRConfig] class to true. A sample code snippet is provided on blog announcement page that demonstrating the usage of the said property to optimize the OCR process. Please review the release notes of this latest release for a complete view of new features. If you are planning to upgrade the API from any previous version, we strongly suggest checking the Public API Changes section to know what has been changed since your current revision of the API. This release includes plenty of new & enhanced features as listed below
- Preprocessed images should not be saved by default
- Incorrect result of OMR with a noisy image
- Ability to load the OMR Template (amr) from URL
- Incorrect recognized text for specific file
- Arithmetic operation resulted in an overflow
Newly added documentation pages and articles
Some new tips and articles have now been added into Aspose.OCR for Java documentation that may guide you briefly how to use Aspose.OCR for performing different tasks like the followings.
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.