Generate QR Coded Barcode with Version Number, Enhanced Barcode Recognition from JPEG using Java

What's New in this Release?

Aspose team is pleased to announce the new version of Aspose.BarCode for Java 17.12.0. The major development in this release is the support to generate QR coded barcode with its version number. This release also supports enhanced process of recognizing Code128 and OneD coded barcode. Enhanced speed and quality of 1D barcode recognition process functionality has also been incorporated in this release. Aspose.BarCode for Java now supports the functionality to generate QR coded barcode with its version information. This functionality allows the developers to generate QR coded barcode by setting its version number. A property BarCodeBuilder.setQRVersion has been introduced to define the said setting. How a developer can set QR version number is demonstrated in the code snippet given below. The code snippet contains comments that makes it self-explanatory. There are some important enhancements and bug fixes part of this release, such as Process of setting license has been improved. Now API will show correct exception message in case license subscription is expired. Set license execution time has also been improved, Working of Aspose.BarCode in multi threaded environment has been enhanced, DatabarStacked barcode recognition process has been enhanced, Process of recognizing barcode from JPEG and TIFF image has been improved, Functionality to generate Datamatrix barcode has been updated and Process to recognize PDF417 and Code128 barcode has been enhanced. Performance improvements have been made to boost up the process. Below is the list of main improved features and bug fixes added in this release.

• Support to set QR version while generating barcode image
• Improve speed and quality of the new 1D recognition algorithm
• Setting License in Aspose.BarCode throws exception
• Aspose.BarCode throw exception when used in multi-threading
• Unable to recognize DatabarStacked barcode with big white space
• Aspose.Barcode is unable to recognize Code128 barcode from JPG image
• Unable to recognize barcode from a TIFF image
• Performance issue while reading PDF417 and Code128 codes
• Performance issue while reading PDF417 and Code128 codes
• Performance issue while reading PDF417 and Code128 codes
• Performance issue while reading PDF417 and Code128 codes
• Performing BarCode recognition in C++ application is taking long time
• Can't recognize code128 from a tif file
• Performing Barcode recognition on a TIFF image and setting JVM 4GB is throwing exception : OutOfMemoryError
• Generated Datamatrix barcode with Aspose.BarCode is not recognized by Aspose.BarCode

Overview: Aspose.BarCode for Java

Aspose.BarCode is a Java based visual component for generation & recognition of 1D & 2D barcodes to support Java, web applications and J2ME platform. It supports 29+ barcode symbologies like MSI, QR, OneCode, Australia Post, Aztec, Code128, Code11, EAN128, Codabar, Postnet, USPS and also supports image output in GIF, PNG, BMP & JPG formats. Other features include barcode size & color settings, rotation angle & caption. You can render barcodes to images, printers, HTTP servlet response & graphical objects too.

More about Aspose.BarCode for Java

- Homepage of Aspose.BarCode for Java: http://www.aspose.com/products/barcode/java

- Download Aspose.BarCode for Java: http://www.aspose.com/downloads/barcode/java

- Online documentation of Aspose.BarCode for Java: http://www.aspose.com/docs/display/barcodejava/Home

Aspose Pty Ltd was founded in March 2002 in Sydney, Australia. The corporate portal was firstly launched in October 2002. Aspose strives to provide the richest component choices for global .NET programmers. Thousands of organizations from tens of countries have acquired Aspose products, including Microsoft, IBM, PricewaterhouseCoopers, Ernst & Young, DuPont, Hilton Hotels, Reader's Digest, Bank of America, Boeing, Siemens, etc.

Aspose Pty Ltd
Suite 163, 79 Longueville Road
Lane Cove, NSW, 2066
Australia
Phone: 888.277.6734
Fax: 866.810.9465

This release was published on openPR.