Abstract
A 2D barcode region localization system for the automatic inspection of logistics objects has been developed. For the successful 2D barcode localization, frequency of the pixel distribution within average 2D barcodes is modeled and the average model of 2D barcode is combined with the corner features to localize the objects having high possibility of 2D barcode candidates. An automatic 2D barcode localization software was developed with frequency and corner features and we tested our system on real camera images of several popular 2D barcodes. It improves on runtime of our previous method.
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Acknowledgments
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2015R1D1A1A01057518).
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Pak, M., Kim, S. (2016). Real-Time Barcode Objects Localization by Combining Frequency and Corner Features. In: Park, J., Jin, H., Jeong, YS., Khan, M. (eds) Advanced Multimedia and Ubiquitous Engineering. Lecture Notes in Electrical Engineering, vol 393. Springer, Singapore. https://doi.org/10.1007/978-981-10-1536-6_45
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DOI: https://doi.org/10.1007/978-981-10-1536-6_45
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