@conference {1065,
	title = {Barcode detection with uniform partitioning and distance transformation},
	booktitle = {IASTED International Conference on Computer Graphics and Imaging (CGIM)},
	year = {2013},
	note = {doi: 10.2316/P.2013.797-022},
	month = {Feb 2013},
	pages = {48 - 53},
	publisher = {IASTED - Acta Press},
	organization = {IASTED - Acta Press},
	type = {Conference paper},
	address = {Innsbruck, Austria},
	abstract = {<p>Barcode detection is required in a wide range of real-lifeapplications. Imaging conditions and techniques vary considerably and each application has its own requirements for detection speed and accuracy. In our earlier works we used uniform partitioning with several approaches for detection of various types of 1D and 2D barcodes and showed their behaviour on a set of test images. In this work, we extend the partitioning idea and replace scan-line based methods with distance transformation to improve accuracy.</p>},
	doi = {10.2316/P.2013.797-022},
	url = {http://www.actapress.com/PaperInfo.aspx?paperId=454988},
	author = {P{\'e}ter Bodn{\'a}r and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l},
	editor = {L Linsen}
}
