With the proliferation of built-in cameras barcode scanning on smartphones 
has become widespread in both consumer and enterprise domains. To avoid making 
the user precisely align the barcode at a dedicated position and angle in the 
camera image, barcode localization algorithms are necessary that quickly scan 
the image for possible barcode locations and pass those to the actual barcode 
decoder. In this paper, we present a barcode localization approach that is 
orientation, scale, and symbology (1D and 2D) invariant and shows better blur 
invariance than existing approaches while it operates in real time on a 
smartphone. Previous approaches focused on selected aspects such as 
orientation invariance and speed for 1D codes or scale invariance for 2D 
codes. Our combined method relies on the structure matrix and the saturation 
from the HSV color system. The comparison with three other real-time barcode 
localization algorithms shows that our approach outperforms the state of the 
art with respect to symbology and blur invariance at the expense of a reduced 
speed.