DocumentCode :
2632080
Title :
Bar code localization using texture analysis
Author :
Jain, Anil K. ; Chen, Yao
Author_Institution :
Dept. of Comput. Sci., Michigan State Univ., E. Lansing, MI, USA
fYear :
1993
fDate :
20-22 Oct 1993
Firstpage :
41
Lastpage :
44
Abstract :
Automatically locating a bar code on an object (e.g., a consumer product, postal mial, etc.) is an important step in an optical bar code recognition system. The authors present an approach for automatic bar code localization, which is based on the multichannel Gabor filtering technique. Both supervised and unsupervised methods are discussed. These methods are rotation-invariant and are able to locate bar codes on planar and curved surfaces
Keywords :
bar codes; filters; image texture; automatic bar code localization; curved surfaces; multichannel Gabor filtering technique; optical bar code recognition system; planar surfaces; station-invariant methods; supervised methods; texture analysis; unsupervised methods; Computer science; Consumer products; Filtering; Frequency; Gabor filters; Graphics; Image segmentation; Optical filters; Pixel; Postal services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 1993., Proceedings of the Second International Conference on
Conference_Location :
Tsukuba Science City
Print_ISBN :
0-8186-4960-7
Type :
conf
DOI :
10.1109/ICDAR.1993.395786
Filename :
395786
Link To Document :
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