DocumentCode
3417990
Title
Automatic Recognition of Noisy Code-39 Barcode
Author
Fang, Xianyong ; Wu, FuLi ; Luo, Bin ; Zhao, Haifeng ; Wang, Peng
Author_Institution
Minist. of Educ., Anhui Univ., Hefei
fYear
2006
fDate
Nov. 29 2006-Dec. 1 2006
Firstpage
79
Lastpage
82
Abstract
Barcode has been widely applied in the modern world. This paper presents a fast and robust recognition method of noisy code 39 barcode. The proposed method can be divided into two steps: search and decoding. In the first step, all asterisks in the image are found with evenly defined scan lines and then those with the same directions are matched together to get a valid barcode region. In the second step, a local denoise method is first applied to eliminate noise in the barcode region and then a middle band filter is used to decode the barcode. Our method is simple in comparison with former methods and experimental results show that it is efficient for fast barcode recognition on noisy images.
Keywords
bar codes; decoding; filtering theory; image coding; image denoising; image matching; decoding; image denoising; image matching; image search; middle band filter; noisy code-39 barcode recognition; Bars; Decoding; Educational institutions; Educational technology; Equations; Image edge detection; Image recognition; Low pass filters; Robustness; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Reality and Telexistence--Workshops, 2006. ICAT '06. 16th International Conference on
Conference_Location
Hangzhou
Print_ISBN
0-7695-2754-X
Type
conf
DOI
10.1109/ICAT.2006.45
Filename
4089215
Link To Document