I am currently working on a project using Python to detect Snapcodes among a set a pictures. For those who don't know what a Snapcode is, here are some examples .
I am looking for the most simple solution to perform this detection using the Python language.
You can use an image classification algorithm like svm to find the Snap codes from a given set of images.In the case of svm you first need to train svm using some pictures of snap codes and some other non-snap code pics.Once training phase completed you can predict whether given image is a snapcode or not.SVM is already implemented in Opencv.
Usefull stackoverflow question
what is svm with code-but in java
opencv implementation of image classifier using svm with python code
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