pyBarcodeScan

A Python program to scan barcodes from images with zbar and OpenCV. By default, it processes all images in the srcDir folder. For each barcode found in an image, the file is copied to the dstDir folder and named as barcode.count.

For example, if these are the image files and corresponding barcodes in them:

srcDir/image01.jpg: 00400439, 00730655
srcDir/image02.jpg: 00400439, 4890008330249

After processing, the above images will be copied to folder dstDir as:

dstDir/00400439.1.jpg
dstDir/00400439.2.jpg
dstDir/00730655.1.jpg
dstDir/4890008330249.1.jpg

Mechanism

There are two engines defined. First the program will try to use zbar directly to process the image.

If no barcode is found, it will use OpenCV to scan for possible barcode patterns in the image and rotate them properly before passing to zbar again.

Prerequisite

First you need to have zbar (http://zbar.sourceforge.net/) installed on your system. Remember to install the development header and library too.

Then download and compile the source code of zbar python (https://pypi.python.org/pypi/zbar). Modify setup.py and add the include and libaray folder of zbar library. Run setup.py build to build it (use setup.py build --compiler=mingw32 if you are building it on Windows and has MinGW installed). Finally run setup.py install to install it.

This program also uses Python Image Libaray (PIL) which can be installed with pip install PIL.

Parameters

The program can be executed as python barcode_scan.py. Possible parameters:

• -s or --srcDir - source directory of images
• -d, --dstDir - destination directory of the images named as barcode found
• -l, --lostDir - images copied here if no barcode found within