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    Abstract
2013 (Vol. 5, Issue: 12)
Article Information:

Illumination Compensation for 2-D Barcode Recognition Basing Morphologic

Jian-Hua Li, Yi-Wen Wang, Yi Chen and Meng Zhang
Corresponding Author:  Jian-Hua Li 

Key words:  Mathematical morphology, morphological contrast, structure element, 2-D barcode, , ,
Vol. 5 , (12): 3273-3280
Submitted Accepted Published
March, 09, 2012 August 15, 2012 April 10, 2013
Abstract:

Improvement of image quality has been highly demanded in digital imaging systems. This study presents a novel illumination normalization approach for 2-D barcode recognition under varying lighting conditions. MMs (Morphological transformations) are employed to original images using big scale multiple SEs (structuring elements). Then we make use of entropy to fuse images. The performance of proposed methodology is illustrated through the processing of images with different kinds of 2-D barcodes under different backgrounds. The experimental results show that this approach can process different kinds of 2-D barcodes under varying lighting conditions adaptively. Compared with other conventional methods, our proposed approach does a better job in processing 2-D barcode under non-uniform illumination.
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  Cite this Reference:
Jian-Hua Li, Yi-Wen Wang, Yi Chen and Meng Zhang , 2013. Illumination Compensation for 2-D Barcode Recognition Basing Morphologic.  Research Journal of Applied Sciences, Engineering and Technology, 5(12): 3273-3280.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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