Paper Info
Title
A Two-Dimensional Barcode with Robust Decoding against Distortion and Occlusion for Automatic Recognition of Garbage Bags
Abstract
This paper proposes a 2D code and its decoding method robust against non-uniform, complicated distortions, assuming an application to automatic recognition of a plastic garbage bag. Printing a 2D code on a garbage bag is a promising approach for automatic bag recognition from the perspective of information content and cost. However, a 2D code printed on the bag causes non-uniform distortions because the bag is not rigid and does not hold a fixed shape. The proposed 2D code is based on Quick Response (QR) code and has auxiliary lines which allow recognition of distortion and occlusion areas, and the proposed decoding method localizes the lines by reliability calculation and iterated DP matching. Experimental results show that the proposed method in conjunction with the error correction function of QR code could decode the 2D code with non-uniform, non-smooth distortions and occluded areas.
Year
DOI
Venue
2014
10.1109/ICPR.2014.496
Pattern Recognition
Keywords
Field
DocType
bags,bar codes,distortion,error correction,image matching,iterative methods,object recognition,2D code printing,QR code,automatic garbage bag recognition,automatic plastic garbage bag recognition,distortion area recognition,error correction function,information content,iterated DP matching,nonsmooth distortions,nonuniform distortions,occlusion area recognition,quick response code,robust decoding method,two-dimensional barcode
Computer vision,Garbage,Occlusion,Pattern recognition,Computer science,Error detection and correction,Artificial intelligence,Decoding methods,Barcode,Distortion,Iterated function
Conference
ISSN
Citations 
PageRank 
1051-4651
0
0.34
References 
Authors
5
4
Name
Order
Citations
PageRank
Satoshi Ono121939.83
Yudai Kawakami200.34
Hiroshi Kawasaki300.34
Shinsuke Fujita400.34