It’s now easier to evaluate the Barcode Reader Toolkit. The evaluation download will provide complete functionality for 30 days from installation. No more nag screens!
Version 6.2.0 of the Barcode Reader Toolkit is now available. Highlights in this version are improved performance and regular expression matching. There have also been improvements in accuracy for Code 25, Code 128 and Code 39 barcodes. Code 39 Recognition. Further enhancements have been made to Code 39 recognition: If the Code39Checksum property is set to True then the toolkit
A new feature in Version 6.2.0 is Regular Expression matching, but what does it mean and what use is it? A regular expression is a pattern that can be used to match against a barcode string. For example, if you set the Pattern property to “^ABC[0-9]+XYZ$” then the toolkit will only report barcodes that start
The Linux variant of the Barcode Reader Toolkit Version 6.1.1 has now been released.
PDF Conversion – The ScanBarCode method now uses the PDF Extension to convert the pdf document at 8 bits per pixel. ZIP Compression – The toolkit now supports TIF documents that use ZIP compression. ScanDirection Mask Change – The managed component interface has been modified to interpret the ScanDirection mask in the same way as the standard windows
Version 6.1.0 of the barcode toolkit has been released. Changes for this version include: Massively improved performance for processing TIF documents. Support for Code 25 non-interleaved barcode format. Full multi-page support for the Managed Component.
A new product has been launched that adds PDF capability to the standard version of the windows toolkit.
The barcode toolkit has been ported to Apple OS X and is available for download.
Version 6.09 of the Linux toolkit is now available. This version includes a shared version of the library and improved Codabar recognition.
The next release of the barcode reading toolkit will be made available during September. Version 6.09 will include the following changes: Both shared and static versions of the library available for Linux. The Codabar recognition module upgraded to the same standard as the Code 39 and Code 25 modules. RGBA Color (32 bit) bitmaps handled