Cost Minimization by QR Code Compression
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International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2014 by IJCTT Journal | ||
| Volume-15 Number-4 |
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| Year of Publication : 2014 | ||
| Authors : Sharu Goel , Ajay Kumar Singh | ||
| DOI : 10.14445/22312803/IJCTT-V15P134 |
Sharu Goel , Ajay Kumar Singh. "Cost Minimization by QR Code Compression". International Journal of Computer Trends and Technology (IJCTT) V15(4):157-161, Sep 2014. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
Quick response code is 2D barcode. Now days, it is used for security purpose. But there is some limitation that is data capacity. The maximum capacity of the QR code is 3KB. So increase the capacity of the QR code we use the some compression algorithm. So the main purpose of this paper is to provide the data compression technique for increasing the capacity of quick response code. This is the first time when an image is converted to 2D barcode. Generally size of the image is few KB to MB. But here, we are capable of reducing image size by compression so that it can reduce the size of QR Code
References
[1] Atul Kumar Sharma and Suneeta Agarwal, “A New Approach for Secure Baggage Management at Airport using Encrypted Two Dimensional Barcode”, Proc. of the second International conference on Advances in computing, control and communication (CCN) pp. 34-38, 2012.
[2] Xiaofei Feng, Herong Zheng, “Design and Realization of 2D Color Barcode with High Compression Ratio”, International Conference on Computer Design and Appliations, Vol. 1, 2010.
[3] Saurabh Yadav and Ajay Kumar Singh, “NoC Based Approach to Enhance the Existing Network Architecture,” International Journal of Soft Computing and Engineering (IJSCE) ISSN: 2231-2307, vol. 2, Issue 4, pp. 159-162, 5th Sept. 2012.
[4] Kapil Kumar, Prateek Sharma and Ajay Kumar Singh, “Effect on Range of Bluetooth Class 1 Adapter using External Omni Antenna,” International Journal of Computer Science and Communication (IJCSC), ISSN: 0973-7391, vol. 3, no. 1, pp. 107-110, Jan.-June. 2012.
[5] Meenu Gupta, A. K Singh, Manoj Kumar Pal, “Aperture Coupled Patch Antenna Array for Wireless Application”, International Journal of Advances in Electrical and Electronics Engineering, ISSN: 2319-1112, vol. 1, pp. 87-96, March 2013.
[6] Kapil Kumar, Prateek Sharma and Ajay Kumar Singh, “Configuring the System to Share Internet from Single User to Multi-user with Single Internet Dongle,” International Journal of Soft Computing and Engineering (IJSCE) ISSN: 2231-2307, vol. 2, Issue 4, pp. 32-35, 5th Sept. 2012.
[7] Jagadish H. Pujar and Lohit M. Kadlaskar, “ A new lossless method of image compression and decompression using Huffman coding techniques”, Journal of Theoretical and Applied Information Technology, pp. 18-22, 2005.
[8] Anmol Jyot Maan, “Analysis and Comparison of Algorithms for Lossless Data compression”, International Journal of Information and Computation Technology, Vol. 3, pp. 139-146.
[9] Prabhakar.Telagarapu, V.Jagan Naveen, A.Lakshmi..Prasanthi, G.Vijaya Santhi, “Image Compression Using DCT and Wavelet Transformations”, International Journal of Signal Processing, Image Processing and Pattern Recognition, Vol. 4, No. 3, September, 2011.
[10] Gaganpreet kaur and sandeep kaur, “Comparative Analysis of Various Digital Image Compression Techniques Using Wavelets”, International Journal of Advanced Research in Computer Science and Software Engineering, Vol. 3, Issue 4, pp. 115-123, 2013.
[11] Saurabh Yadav and Ajay Kumar Singh, “A Biometric Traits Based Authentication System for Indian Voting System,” International Journal of Computer Application (IJCA), vol. 65, no.15, pp. 159-162, March 2013.
[12] Dong Liu, Xiaoyan Sun, Feng Wu, Shipeng Li, and Ya-Qin Zhang, “Image Compression with Edge-Based Inpainting”, IEEE Transcations on circuits and system for video technology, Vol. 17, No. 10, October 2007.
[13] Dr. E. Kannan and G. Murugan, “Lossless Image Compression Algorithm for Transmitting Over Low Bandwidth Line”, International Journal of Advanced Research in Computer Science and Software Engineering, Vol. 2, Issue 2, 2012.
Keywords
2D Barcode, QR code, Data compression, Lossless Compression.