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Using opencv images with the Softek barcode reader toolkit

Here’s some C code that shows how to read an opencv cv::Mat image using the barcode reader toolkit. The main points to note are: Read the image using the cv::IMREAD_GRAYSCALE flag Flip the image vertically Align the scan lines to 4 byte boundaries #include <barcode.h> #include <iostream> #include <opencv2/core/core.hpp> #include <opencv2/highgui/highgui.hpp> #include <opencv2/imgproc/imgproc.hpp> static void …

Special offer!

As a start of year special offer we’re offering a 30% discount on the Softek Barcode Reader Toolkit with PDF Extension, effectively giving an upgrade to the PDf Extension for free for purchased of the standard edition. Use the coupon code PDFEXT30 at the check out or email sales@bardecode.com for further details.

Digitising the Natural History Museum collection with some help from BardecodeFiler

The Natural History Museum in London is currently digitizing its collection, including insect slides with barcodes. BardecodeFiler is used to read the barcode from a photo of the slide and rename the photo to the code for the specimen. Here’s a link to video that explains the whole process: https://www.wired.co.uk/video/how-the-natural-history-museum-is-scanning-80-million-dead-creatures Here’s another link to an …

Softek Barcode Reader Toolkit for Windows Version 8.3.3.5 Released

We’re pleased to announce that version 8.3.3.5 of the Windows barcode reader SDK has been released. This version has significant speed improvements to datamatrix recognition and enhanced support for datamatrix barcodes printed in a dotted pattern. Here’s the full list of changes: Fix for random barcode coordinates when MultipleRead is not enabled. Fix for false …

How to fool ANPR systems

Here’s an interesting article on how it’s possible to fool technology designed to keep an eye on us all. In this case it’s number plate recognition but similar problems can occur with barcode recognition – random artefacts in an image can resemble the patterns created by barcodes. Fortunately it’s easier to distinguish the false positive …