DocumentCode :
584673
Title :
Improving Barcode Detection with Combination of Simple Detectors
Author :
Bodnar, Peter ; Nyul, Laszlo G.
Author_Institution :
Dept. of Image Process. & Comput. Graphics, Univ. of Szeged, Szeged, Hungary
fYear :
2012
fDate :
25-29 Nov. 2012
Firstpage :
300
Lastpage :
306
Abstract :
Barcode detection is required in a wide range of real-life applications. Imaging conditions and techniques vary considerably and each application has its own requirements for detection speed and accuracy. In our earlier works we built barcode detectors using morphological operations and uniform partitioning with several approaches and showed their behaviour on a set of test images. In this work, we examine ensemble efficiency of those simple detectors using various aggregation methods. Using a combination of several simple features localization performance improves significantly.
Keywords :
bar codes; feature extraction; image processing; aggregation methods; barcode detection; detection accuracy; detection speed; ensemble efficiency; features localization performance; imaging conditions; morphological operations; real-life applications; simple detectors combination; Accuracy; Detectors; Feature extraction; Image edge detection; Noise; Probabilistic logic; Tiles; Hough transformation; barcode detection; clustering; computer vision; distance transformation; feature extraction; morphological filters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Image Technology and Internet Based Systems (SITIS), 2012 Eighth International Conference on
Conference_Location :
Naples
Print_ISBN :
978-1-4673-5152-2
Type :
conf
DOI :
10.1109/SITIS.2012.52
Filename :
6395110
Link To Document :
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