Email this article 
Open Access
Subscription or Fee Access
Enhancement of HC2D Barcode Reader for Efficient Data Recognition
Abstract
The barcode contains the data which are built by a specific patterns. The lines, dots and space in the barcode represents the information of the product. Generally barcode are capable of storing date in binary format. Barcodes are classified into three types namely 1D, 2D and 3D. One dimensional barcodes contains the date in the form of parallel lines and differentiated by its space. Two dimensional barcodes holds the data in the form of dots, square and other geometric patterns. The next level of the barcode evaluation, is a 3D barcode. It is similar to 2D the only difference is I can felt when touched. Among these 2D barcode are popular and efficient than other in real time applications. HC2D barcode is a high capacity two dimensional barcode. It can hold binary data and alpha numeric. In smaller area also it can hold larger data. HC2D barcode is apt for displaying on printing media because of the size efficiency. The data in the barcode can be retrieved with the help of barcode reader. The recognition rate obtained in the existing method is 93%.In this technique the recognition rate is improved up to 95.5 with the help of filter.
Keywords
References
J.Z. Gao, L. Prakash and R. Jagatesan, “Understanding 2D-BarCode Technology and Applications in M Commerce – Design and Implementation of a 2D Barcode Processing Solution”, 31st Annual Intl. Computer Software and Applications Conference (COMPSAC 2007).,pp. 49-56, vol. 2, Jul. 2007.
M.Warasart and P. Kuacharoen, (2012) “Paper-based Document Authentication using Digital Signature and QR Code”, 2012 4TH International Conference on Computer Engineering and Technology (ICCET 2012).
C. Rong, L. Zhen-ya, J. Yan-hu, Z. Yi, and T. Li-yu, “Coding Principle and Implementation of Two-Dimensional PDF417 Bar code”, 6th IEEE Conference on Industrial Electronics and Applications., pp. 466-468,Jun. 2011.
L. Biao, “A Datamatrix-Based Mutant Code Design and Recognition Method Research”, Proceedings of the 4th international conference on image and graphics, pp. 570-574, Aug. 2007.
N Arshad Ali and Dr.S.A.K.JILANI, “A Survey on Barcode Detection Using Image Processing”, International Journal of Research In Advance Technology in Engineering (IJRATE) volume1, October 2013.
Hiroshi Hanaizumi,Lim Ah Hock and Eiasaku ohbuchi “Barcode Readers Using the Camera Device in Mobile Phones”, International Conference on Cyber world, 2004.
Islam, M.R., Ahsan Rajon, S.A, “An Enhanced for Lossless Compression of Short Text for Resource Constrained Devices”, 14th International Conference on Computer and Information Technology, pp. 292-297 (2011)
Mamidi, S. “Instruction Set Extensions for Reed-Solomon Encoding and Decoding”, 16th IEEE International Conference on Application-Specific Systems, Architecture Processors, pp. 364-369 (2005)
Priyanka Shrivastava and Uday Pratap Singh, “Error Detection and Correction Using Reed Solomon Codes”, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 3, August 2013.
Puchong Subpratatsavee, Narongrit Janthong, Preeyawal Kuha and Chanchira Chintho, “HC2D Barcode Reader using Embedded Camera in Android Phone”, 11th International Joint Conference on Computer Science and Software Engineering (JCSSE), 2014.
Ohbuchi, E., H. Hanaizumi and L.A. Hock, 2004. “Barcode Readers Using the Camera Device in Mobile Phones”, In Proceedings of International Conference on Cyber worlds, pp: 260-265.
Kuroki, M., T. Yoneoka, T. Satou and Y. Takagi, 1997. “Barcode Recoginition System Using Image Processing”, In Proceedings of IEEE 6 International th Conference On Emerging Technologies and Factory Automation Proceedings, pp: 568-572.
Shams, R. and P. Sadeghi, 2007. “Barcode Recognition In Highly Distorted and Resolution Images”, In Proceedings of IEEE International Conference On Acoustics, Speech and Signal Processing, pp: 1-737-1-740.
NavyaShridhar, C.S. and K.G. Mohan, 2009. “A Low Cost Barcode Reader Health Application on an Android Mobile Device”, In Proceedings of International Conference on Computer Science and Engineering.
Chai, D. and F. Hock, 2005. “Locating and Decoding EAN-13 Barcodes From Images Captured By Digital Cameras”, In Proceedings of IEEE 5 International th Conference on Information, Communication and Signal Processing, pp: 1595-1599
Konggiao Wang, YamingZoou and Hao Wang, 2005. “Barcode character segmentation for mobile cameras”, In Proceedings of 2 International nd Conference on Mobile Technology, Applications and Systems.
H. Kato and K. Tan, ―Pervasive 2D barcodes for camera phone applications,‖ Pervasive Comput., vol. 6, no. 4, pp. 76–85, Oct. 2007.
X.Liu, D.Doermann, and H.Li, ―Vcode-pervasive data transfer using video barcode,‖ IEEE Trans. Multimedia, vol. 10, no. 3, pp. 361–371, Apr. 2008.
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 3.0 License.