Here is the command line to convert an Adobe PDF document to TIF on Linux, in a suitable format to be used as input for the Linux version of the Softek Barcode Reader Toolkit: For color documents: gs -dNOPAUSE -r300 -sDEVICE=tiffscaled24 -sCompression=lzw -dBATCH -sOutputFile=output.tif input.pdf For black and white: gs -dNOPAUSE -r300 -sDEVICE=tiffg4 -sCompression=lzw -dBATCH
We’ve made some changes to the recommended way of interfacing Python on Windows to take account of Python 3 and Windows 64-bit. The first change is in the loading of the DLL file itself.. if platform.machine().endswith(’64’): bardecodeLibrary = os.getcwd() + ‘../../../SoftekBarcode64DLL.dll’ a=CDLL(bardecodeLibrary) else: bardecodeLibrary = os.getcwd() + ‘../../../SoftekBarcodeDLL.dll’ a=WinDLL(bardecodeLibrary) Note the use of CDLL on
Version 8.4.1 of the Softek Barcode Reader Toolkit for Linux/Android/iOS/Raspberry Pi and AM has been released with the following changes: The amount of memory required on the stack for the software to run has been reduced. This had previously caused some problems when running version 8.3.3 under docker. The bardecode.a library is now built using
Version 8.4.1 of the Softek Barcode Reader Toolkit for Windows has been released with the following changes: Interfaces for .Net Core and Python have been added. The QRCodeAutoMedianFilter property in the .Net interface has been changed from bool to short. The property is in fact a mask and should not have previously been designated bool
Version 2.6.3.1 of BardecodeFiler has been released with the following changes: The Debenu PDF library has been upgraded to 1711 The Softek Barcode reader DLL has been upgraded to version 8.4.1 There is now a choice of 3 render engines to choose from in PDF Options/Rendering. The render options are no longer greyed out if
Natural history collections hold vital information that is needed in order to tackle fundamental challenges of our time – from conserving biodiversity to combating disease. The Natural History Museum, London is on an ambitious journey to digitise its collection of 80 million objects. The Museum’s Digital Collections Programme was initiated in 2014, to mass digitise
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
A barcode font is a quick and easy way to create a barcode and a lot cheaper than buying software to create the barcode, so what could be wrong in using a Code128 font? A Code 128 barcode breaks down as follows: Start character Data characters Checksum character Stop character The start and stop characters
We’ve made some changes to BardecodeFiler to improve speed when handling very large batches: 2 new options have been added under Options/Log Files/Enable Disable: Hide file details in tree until end of batch – do not display details for each file processed in a batch until the batch has completed. Clear tree data at start
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