DocumentCode :
537841
Title :
A Hierarchical Framework for 2D Data Matrix Recognition
Author :
Liu, Anan ; Dang, Tianyue ; Han, Dong ; Yang, Zhaoxuan
Author_Institution :
Sch. of Electron. Inf. Eng., Tianjin Univ., Tianjin, China
Volume :
1
fYear :
2010
fDate :
11-12 Nov. 2010
Firstpage :
20
Lastpage :
23
Abstract :
2D barcode recognition technique and system play an important role in the industry application. It is extremely challenging to locate and recognize barcodes when the background is cluttered and the illumination is uneven. In this paper, we propose a hierarchical framework for 2D Data Matrix recognition and further introduce the 2D barcode recognition system based on the proposed method. The superiority of this framework lies in three folds: 1) it is robust to unbalancing illumination, geometric deformations and affine transform; 2) barcode region localization is performed to make the system robust to clutter background and to save computation complexity; 3) the floating DSP hardware platform guarantees the decoding accuracy and speed to attain a leading level. The large-scale experiment shows that the proposed framework can achieve high accuracy and robustness for 2D Data Matrix recognition and has been transferred into real production.
Keywords :
affine transforms; bar codes; digital signal processing chips; lighting; object recognition; 2D barcode recognition technique; 2D data matrix recognition; DSP hardware platform; affine transform; barcode region localization; geometric deformations; hierarchical framework; unbalancing illumination; 2D Data Matrix; binarization; floating DSP; localization; recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Optoelectronics and Image Processing (ICOIP), 2010 International Conference on
Conference_Location :
Haiko
Print_ISBN :
978-1-4244-8683-0
Type :
conf
DOI :
10.1109/ICOIP.2010.298
Filename :
5663622
Link To Document :
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