[1]WANG Xia-ling,LU Yue,WEN Ying.Automatic location and recognition of barcodes on objects with complex background and nonuniform lighting[J].CAAI Transactions on Intelligent Systems,2010,5(1):35-40.
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Automatic location and recognition of barcodes on objects with complex background and nonuniform lighting

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 5 Number of periods: 2010 1 Page number: 35-40 Column: 学术论文—机器感知与模式识别 Public date: 2010-02-25
Title:
Automatic location and recognition of barcodes on objects with complex background and nonuniform lighting
Author(s):
WANG Xia-ling1;  LU Yue1; 2;  WEN Ying2; 3
1.Department of Computer Science and Technology, East China Normal University, Shanghai 200241, China;
2. Shanghai Research Institute of China Post Group, Shanghai 200062, China;
3.Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai 200240, China
Keywords:
barcode localization;  barcode recognition;  complex scenes;  uneven illumination;  Harris corner detection;  Bernsern algorithm
CLC:
TP391.41
DOI:
-
Abstract:
An algorithm was proposed that more effectively locates and recognizes barcodes. The first step was to divide the image into several subregions. Then subregions containing barcodes were determined according to gradients and the presence of corner features. If subregions with probable barcodes were found in more than one region, the subregions were merged and then analyzed to locate the barcode. Since traditional binarization algorithms produce poor results in nonuniformly illuminated images, the improvements to Bernsen’s algorithm were formalized. They greatly reduced the effects of nonuniform illumination on barcode recognition. Experimental results showed that the proposed method could remove complex backgrounds, accurately locating and recognizing barcode regions at any arbitrary angle. In particular, the method achieved good performance even with uneven illumination and complex background.
References:
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