Abstract
The one dimensional (1D) barcode was developed as a package label that could be swiftly and accurately read by a laser scanner. It has become ubiquitous, with symbologies such as UPC used to label approximately 99% of all packaged goods in the US [1]. The two-dimensional (2D) barcode has improved the information encoded capacity, and it also has enriched the applications of barcode technique. Recently, there are researches dealing with watermark technique on barcode to prevent it from counterfeited or prepensely tampered. The existent methods still have to limit the size of embedded watermark in a relatively small portion. Furthermore, it also needs to utilize original watermark or other auxiliary verification mechanism to achieve the barcode verification. In this paper, we propose a novel watermarking barcode reading enhancement method. The proposed method can fight most of reading challenges of watermarking barcode. Experiments with challenging barcode images show substantial improvement over other state-of-the-art algorithms.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Tekin, E., Coughlan, J.: A Bayesian Algorithm for Reading 1D Barcodes. In: Sixth Canadian Conference on Computer and Robot Vision (CRV), Kelowna, British Columbia (2009)
Hernandez Martin, J.R., Kutter, M.: Information retrieval in digital watermarking. IEEE Communications Magazine 39(8) (2001)
Shen, J.-J., Hsu, P.-W.: A Fragile Associative Watermarking on 2D Barcode for Data Authentication. International Journal of Network Security 7(3) (2008)
Afzel, N., Nikhil, T., Max, M.H.: Embedding biometric identifiers in 2D barcodes for improved security. ScienceDirect, Computers & Security 23(8) (2004)
Ross, D.: Back on the cards. IEE Review 49 (2003)
Gallo, O., Manduchi, R.: Date of Current Version 2010, Reading challenging barcodes with cameras. In: Applications of Computer Vision (WACV) (2010)
DataSymbol Barcode Recognition SDK, http://www.datasymbol.com/ (last retrieved December 07, 2011)
DTK Software, http://www.dtksoft.com/ (last retrieved December 07, 2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag GmbH Berlin Heidelberg
About this paper
Cite this paper
Atiea, M.A., Mahdy, Y.B., Hedar, AR. (2012). Poor Quality Watermark Barcodes Image Enhancement. In: Wyld, D., Zizka, J., Nagamalai, D. (eds) Advances in Computer Science, Engineering & Applications. Advances in Intelligent Systems and Computing, vol 167. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30111-7_88
Download citation
DOI: https://doi.org/10.1007/978-3-642-30111-7_88
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30110-0
Online ISBN: 978-3-642-30111-7
eBook Packages: EngineeringEngineering (R0)