QR Code Recognition Based on Image Processing

Authors

  • Ms. J Seetha PG Student, Kings Engineering College, Sriperumbudhur, Tamil Nadu, India Author
  • Dr. G Manikandan Professor, Kings Engineering College, Sriperumbudhur, Tamil Nadu, India Author
  • Ms. S. Hemalatha Assistant Professor, Kings Engineering College, Sriperumbudhur, Tamil Nadu, India Author
  • Ms. Vilma Veronica Assistant Professor, Kings Engineering College, Sriperumbudhur, Tamil Nadu, India Author

DOI:

https://doi.org/10.32628/IJSRST52411227

Keywords:

2D Matrix Code, QR Code, Encrypted QR Code

Abstract

To solve the QR code recognition problem caused by ordinary camera collection, the recognition algorithm based on image processing is put forward in this paper. The whole process including image binarization, image tilt correction, image orientation, image geometric correction and image normalization allows images collected on different illumination conditions. Experiments show that the improved method can enhance the recognition speed of two-dimensional code and accuracy.
 QR i.e. “Quick Response” code is a 2D matrix code that is designed by keeping two points under consideration, i.e. it must store large amount of data as compared to 1D barcodes and it must be decoded at high speed using any handheld device like phones. QR code provides high data storage capacity, fast scanning, omnidirectional readability, and many other advantages including, error-correction (so that damaged code can also be read successfully) and different type of versions. Different varieties of QR code symbols like logo QR code, encrypted QR code, QR Code are also available so that user can choose among them according to their need. Now these days, a QR code is applied in different application streams related to marketing, security, academics etc. and gain popularity at a really high pace. Day by day more people are getting aware of this technology and use it accordingly. The popularity of QR code grows rapidly with the growth of smartphone users and thus the QR code is rapidly arriving at high levels of acceptance worldwide.              

Downloads

Download data is not yet available.

References

Gu, Yunhua, and Weixiang Zhang. "QR code recognition based on image processing." In international conference on information science and technology, pp. 733-736. IEEE, 2011.

Ohbuchi, Eisaku, Hiroshi Hanaizumi, and Lim Ah Hock. "Barcode readers using the camera device in mobile phones." In 2004 International conference on cyberworlds, pp. 260-265. IEEE, 2004.

Hashim, N. M. Z., N. A. Ibrahim, N. M. Saad, F. Sakaguchi, and Z. Zakaria. "Barcode recognition system." International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) 2, no. 4 (2013): 278-283.

Liu, Yue, Ju Yang, and Mingjun Liu. "Recognition of QR Code with mobile phones." In 2008 Chinese control and decision conference, pp. 203-206. IEEE, 2008.

Youssef, Sherin M., and Rana M. Salem. "Automated barcode recognition for smart identification and inspection automation." Expert Systems with Applications 33, no. 4 (2007): 968-977.

Kuroki, Mikio, Takayuki Yoneoka, Tetsua Satou, Yoichi Takagi, Tadaaki Kitamura, and Noriaki Kayamori. "Bar-code recognition system using image processing." In 1997 IEEE 6th International Conference on Emerging Technologies and Factory Automation Proceedings, EFTA'97, pp. 568-572. IEEE, 1997.

Zhang, Yunfei, Bo Lu, and Limin Su. "A barcode recognition based on multiform algorithms." In 2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics, vol. 2, pp. 17-20. IEEE, 2012.

Narayan, Gayathri Rema, and Mr Vinoth James. "Barcode recognition from video by combining image processing and xilinx." Procedia engineering 38 (2012): 2140-2146.

Joseph, Eugene, and Theodosios Pavlidis. "Bar code waveform recognition using peak locations." IEEE Transactions on Pattern Analysis and Machine Intelligence 16, no. 6 (1994): 630-640.

GU, Xiao-lin, Ming HUANG, and Hai-yin QI. "2-Dimensional Bar Code Recognition Based on Genetic Algorithms [J]." Journal of Dalian Railway Institute 4 (2005).

LIU, Ning-zhong, and Jing-yu YANG. "Recognition of two-dimensional bar code based on Fourier Transform." Journal of Image and Graphics 8, no. 8 (2003): 877-882.

Falas, Tasos, and Hossein Kashani. "Two-dimensional bar-code decoding with camera-equipped mobile phones."

Downloads

Published

03-04-2024

Issue

Section

Research Articles

How to Cite

QR Code Recognition Based on Image Processing. (2024). International Journal of Scientific Research in Science and Technology, 11(2), 160-168. https://doi.org/10.32628/IJSRST52411227

Most read articles by the same author(s)